Selecting the right cloud service provider can be a big decision. It can affect your security, performance, scalability, and cost of having the right technologies in place.

Many providers offer a wide array of cloud services. AWS, Microsoft Azure and Google Cloud to name a few. To find the right solution for your business, you should utilise a structured approach.

How to decide which cloud provider

Know Why You Need It

First understand why you want to use a cloud service provider.

Depending on your business you will have different priorities. For example, a start-up with their first application will likely care about cost and ease of use. Whereas large enterprises will care more about security, compliance, and availability.

Before looking for a provider ask yourself what you want from your cloud.

Do you want to migrate existing applications into the cloud? Do you need infrastructure for a new application or website? Are you looking to reduce your infrastructure costs? Do you need your applications to perform better? Will you see large increases in traffic? Do you have any specific data protection or compliance requirements?

By asking these questions you can get a good understanding of what you want from your cloud.

For example, if you are an e-commerce company expecting large increases in traffic during seasonal periods, you may want to ensure you have auto-scalability and application availability. Whereas a financial services organisation, may care more about data protection, security and compliance.

Choose the provider that will help you achieve your business goals.

Understand your workloads

Not all applications will require the same type of infrastructure.

Some applications will need a different infrastructure such as a Content Management System, Enterprise Resource Planning application, Mobile application back-end and Data Analytics.

By understanding your workloads you can narrow down which providers and services are suitable.

What compute do I need?

How much CPU/Memory/Compute will your applications need?

What storage do I need?

How much data do you need to store?

How often will it be accessed? What type of storage do you need? (Object, Block or File).

What network requirements do I have?

How much bandwidth do you need?

Are there any latency issues?

Are you needing a secure connection between your applications and databases? What scalability do I need?

Do your workloads have predictable growth or bursty traffic?

What compatibility do I need? Are you needing your databases, development tools, APIs, and enterprise applications to be compatible?

This will stop businesses from choosing an unnecessarily expensive or unsuitable solution.

Security

Security of your infrastructure should be key to your decision.

When moving your applications and data to the cloud, you will want to ensure that your infrastructure, customer data and workloads are secure. However, most cloud environments have a shared responsibility. This means both the provider and customer have responsibilities.

Before choosing a provider, ask yourself:

Identity & Access: Can they provide identity & access management?

Data Encryption: Can they encrypt your data at rest and in transit?

Network & Firewalls: Can they secure their network and firewalls?

Backups & DR: Can they provide backups?

Security Monitoring: Can they monitor their security?

Compliance: Are they compliant with any certifications?

Data Protection: Are there any data protection requirements?

It’s also important to know what they are covering.

Just because they have infrastructure security does not mean your application, access, and data is all secured.

Ask for the relevant documents and ensure they are secure enough for your requirements.

Cost

Although cloud pricing can seem simple, there are many factors to take into consideration.

If you just compare the price of your virtual machines or storage you could end up with an inaccurate budget.

Try to calculate the total cost of ownership.

What compute will I need?

How much will storage, databases, data transfer, back-ups, security, licence, support, and management cost?

Take note of any data egress charges.

Just because a provider has a low cost for compute, if your application requires lots of egress it may not be the best option.

Look at the different pricing options.

The aim is not to choose the cheapest provider. But the one with the best value for money in the long run.

Performance & Uptime

Just because a provider has great global infrastructure doesn’t mean they will give you the performance you need.

Consider where your users are located, how often your application will be talking to your databases, and how sensitive your workloads are.

Consider:

Cloud Regions & Zones: Do they have suitable regions/zones for you?

SLA’s: Do they have suitable SLA’s?

Disaster Recovery: How often do they back-up?

What RTO/RPO do they have?

Scalability: Will they auto-scale?

Monitoring: Do they have monitoring?

Don’t rely on what they say their performance is. Try a proof of concept.

This way your technical team can see how it will perform.

Compatibility

Your cloud provider should be compatible with your current technologies.

Choosing a provider that isn’t compatible with your current technologies can cause extra work when developing your application.

Consider if they are compatible with:

Languages & Frameworks Databases Pipelines Monitoring Software APIs

Also consider if your developers and IT administrators have the experience to use the platform.

Sometimes the most technically advanced cloud may not be the best option if you don’t have the skills to utilise it.

Choose a provider that will fit your technical capabilities.

Vendor Lock-In

One of the biggest issues with choosing a cloud provider is the difficulty of moving away from the provider.

Vendor lock-in refers to becoming heavily dependent on a providers services/technologies.

This can cause expensive and complex migrations in the future.

Consider:

Can you export your data?

Are they using standard APIs?

Can you move your applications?

Are they compatible with containers/orchestration?

Are there any alternatives?

Can you terminate your contract and get your data?

Some organisations will benefit from using their managed services however this should be weighed up against the cost of moving providers.

You do not necessarily need a multi-cloud strategy. Having good documentation, data exports, and an exit strategy can give you flexibility.

Support

Your cloud infrastructure will need to be monitored and managed. Even if you have a well designed infrastructure things can go wrong.

Consider what support they can offer.

Do they have support?

How quickly will they respond and resolve the issue?

Do they have dedicated engineers?

Do they have good documentation?

Can they monitor their infrastructure?

How will they escalate any critical issues?

If you have mission critical applications then having a delay in support can cause downtime and loss of revenue.

It’s also worth considering their reputation, financial stability, and history. Are they transparent with their incidents?

Proof of Concept

Once you have narrowed down your list of providers try a proof of concept.

This will allow you to confirm that the cloud will meet your requirements.

Don’t try to test all the services. Just pick a representative workload.

For example, if you are migrating an existing web application you can test:

Application setup. Database connection. Application performance. Security & Access Management. Auto-scale. Back-up. Costs.

Record what you find and compare it to your requirements.

This will give you evidence to help you come to your final decision.

Use a Structured Approach

Having a structured approach will make selecting a cloud service provider more transparent.

Rather than giving everything the same weighting, give the criteria weighting based on your business requirements.

Below is an example:

Criteria Weighting Security & Compliance 25%

Performance & Uptime 20%

Cost of Ownership 20%

Scalability & Flexibility 15%

Compatibility 10%

Support 10%

Total 100%

These are just suggestions and will vary depending on your business. A regulated enterprise may give more weighting to security. Whereas a growing digital business may prioritise scalability and cost.

Score each of your shortlisted providers based on the criteria. Use evidence from your technical reviews, estimated costs, documentation, and proof of concept.

Also include any compromises, risks, or assumptions in your final decision.

This will allow you to use this approach for future workloads.

Final Thoughts

Selecting a cloud service provider is a long term decision. By understanding your business requirements, workloads, security, cost, and technical capabilities you will be able to make a good choice.

Most importantly make sure your choice is based on your requirements and not what they promise or what is popular.

Whether you are looking to migrate to the cloud for the first time or just reviewing your current strategy, using a structured approach can help you make a more informed decision.

For more details on choosing the right cloud platform, take a look at this guide on how to select the best cloud service provider.

Choosing the right cloud strategy is not about choosing the provider with the most features. It is about finding an environment that will help you today and be adaptable to your future requirements.

Business data can be collected in many ways such as web pages, mobile apps, transactions, internal systems, IoT, marketing and more. Understanding, organising and analysing this data can give your business valuable insight. This can help to identify patterns, reduce inefficiencies and make better business decisions.

However, having lots of data isn't necessarily going to make your business more efficient. The real benefits come from how you can use the data.

Improve Decision Making Speed

Traditionally many business operations will be based around reports and data from years ago. For example looking at monthly sales figures, operating costs, employee performance and customer feedback.

Whilst this can provide some valuable insight, it can slow down the decision making process. By the time you find out there is an issue, you may have already had an impact.

Using big data analysis can help you analyse data from many sources more frequently.

For example, your e-commerce company can track activity on their website, product searches, purchases and abandoned carts. This means they can see how customers are behaving in real-time. This can help them identify any changes in demand and react accordingly.

This helps to turn your business from being reactive to more proactive.

Personalise Customer Service

Customers now expect businesses to know their preferences and make recommendations. Big data can help you gain more insight into your customers.

You can use data from:

Previous purchases and browsing Viewed products Customer support Feedback and reviews Preferred contact method Purchase frequency and seasonal interest

This can help your customer service team to give more relevant answers and marketing team to create targeted campaigns.

Customers who purchase certain categories of products regularly, can receive relevant recommendations.

This can make a real difference in how your team operates. They will spend less time guessing what your customers want and more time focusing on what they actually need.

Predict Inventory Needs

Inventory can be one of the most challenging parts of any retail, manufacturing and distribution business.

Having too much stock can cause increased storage costs. Having too little can cause lost sales, delayed orders and unhappy customers.

Using big data can help you plan your inventory needs. You can look at past sales, current demand, seasonal trends, supplier performance and market trends.

For example, if you're an online electronics retailer and about to have a big sale during the festive period.

You can look at past sales, current product searches, customer queries and stock movements to help predict which products may have increased demand.

Your operations team can then plan their purchase schedule, work with suppliers and optimise stock in the warehouse.

This helps to make your inventory decisions more proactive.

Improve Visibility Within Your Supply Chain

A supply chain can be quite complex. It can involve purchasing, manufacturing, warehousing, delivery and more.

If each of these are using separate systems, it can be difficult to identify any delays, supplier issues or inefficiencies.

Using big data analysis can help you bring data together. For example:

Vehicle locations and delivery routes Fuel usage Shipment status Traffic Processing times in the warehouse Supplier delivery performance

If there is a delay with a shipment, using this data can help your operations team understand why and what they can do.

Rather than finding out about delivery issues when customers complain, you can find out potential issues quicker.

Reduce Breakdowns With Predictive Maintenance

Equipment breakdowns can cause disruption to your production, delayed deliveries and increased maintenance costs.

Traditionally maintenance can be done on a set schedule.

With big data you can use predictive maintenance.

Sensors and monitoring can be used to collect data from your equipment. This can give you insight into temperature, vibrations, pressure, speed and performance.

By analysing this data along with previous maintenance data, you can identify any anomalies. For example,

A manufacturing company may notice that a certain machine has regular abnormal vibrations.

The maintenance team can investigate this issue and schedule an inspection.

This means your maintenance is no longer reactive.

Understand Employee Productivity

Your business productivity is not just about how long your employees are working. It's about how efficiently they are completing tasks, how resources are used and where there are unnecessary delays.

Big data can help you understand how your business is performing. For example:

Average ticket resolution times Common issues Customer satisfaction Workload distribution Repeated manual tasks Service response times

This can help identify if your employees are spending too much time on repetitive queries. Management can then implement automation, improve internal documentation or redistribute.

The aim isn't to keep a close eye on employees. But to understand where there are issues and create an environment where your teams can be more productive.

Create More Data Driven Financial Planning

Many areas of your business operations will be affected by financial decisions.

Big data can help your finance team understand where your money is going. They can look at:

Departmental costs vs productivity Project costs Sales Customer acquisition costs

This can help you identify unnecessary costs. You can also understand what is contributing to your business.

Using predictive analytics can help organisations predict future cash flow needs, identify any anomalies and prepare for changes.

This means your financial planning is more aligned to your operations.

Identify Potential Risks

All organisations have risk. Whether it be cyber threats, financial discrepancies, disruptions, and unexpected changes in customer demand.

Big data analysis can help you identify any anomalies in large volumes of data.

For example, financial institutions can look at transaction behaviour to identify any potentially suspicious activity.

IT teams can also analyse network activity, logins and system logs to identify any unusual activity.

However, just because there is an anomaly doesn't mean there is a risk. You will need to ensure the data is validated, you have appropriate security measures in place and keep a human element.

The benefit of using analytics is that you can investigate potential risks quicker.

Ensure All Departments Are Using The Same Data

A common issue with business operations is having data split across departments.

Sales may be using one platform, marketing another, customer support a third and finance a completely separate reporting tool.

If data is not shared between these, your employees may not have the full picture.

Big data initiatives can help businesses to bring data together from different sources. This can help create more consistent reporting.

For example, sales, marketing and customer support data can be brought together. This can help your teams understand the full customer journey.

Marketing can see which campaigns are bringing in valuable queries, sales can understand where potential customers are coming from and customer support can see what issues are consistently affecting customer satisfaction.

This can create a more cohesive environment between departments and reduce the need for manual data collection.

Implement More Automation

Big data can be used to automate processes and reduce repetitive tasks.

Once you have accurate data you can use this within your automation. This can trigger certain actions depending on rules or analytics.

For example:

Automated stock alerts when stock hits a certain level. Customer alerts when order status changes. Invoices that need further verification. Support tickets assigned based on the issue. Operational reports from integrated systems.

Using Artificial Intelligence and Machine Learning can help to take this even further. This can help to identify patterns and allow more complex decisions.

However, you need to be careful with automation. Ensure you know what can be automated and which decisions need human approval.

The aim is to reduce any unnecessary manual tasks.

Challenges To Consider

Big data can provide many opportunities for your business operations. However, there are a few challenges to overcome.

Data Quality – If your data is incomplete, duplicated or incorrect it can cause unreliable insights. Ensure you have consistent data capture and validation.

Data Integration – Often data will be stored in many different applications and legacy systems. Ensure you have a good plan in place to bring everything together.

Security – Ensure you have appropriate security in place to protect customer data, finances and business data.

Storage – Ensure you have the correct storage solution to hold large amounts of data.

Understanding – Ensure your employees understand how to use the insights.

Define A Goal – Before investing in complex solutions, identify what issue you want to overcome.

If these aren't in place your big data initiatives could become a costly tech initiative. Whilst you may have amazing dashboards, it won't make much difference to your operations.

How To Get Started With Big Data

You don't need to change all departments straight away. A practical approach would be to start with one issue.

Identify An Issue – Identify an area that could benefit from better information. For example, predicting stock, customer support or deliveries.

Identify Relevant Data – Determine which systems have the data you need.

Ensure Data Quality – Ensure data is standardised, validated and organised.

Select The Right Technology – Choose the right analytics platforms, databases, cloud and integrations.

Create Useful Analytics – Create reports, dashboards, predictive models or automation to help with decision making.

Measure Results – Measure any meaningful metrics. For example, processing time, costs, errors, customer satisfaction and productivity.

Scale Up – Once you've seen improvements from your initial implementation, think about other departments.

This will help you to focus on making real improvements to your operations.

The Future Of Business Operations

Big data is transforming how business operations are run. This is helping organisations understand issues, resources, customers and make decisions.

The real benefit of using big data is helping people to do their job more efficiently. Rather than simply collecting more data and creating complex dashboards.

As cloud computing, Artificial Intelligence, Machine Learning and integrated applications are developing, organisations will have more opportunities to bring data together.

Those focusing on accurate data, practical use cases and measurable improvements will be best placed to make the change.

The real change isn't what you see in a presentation. It's how your work changes.

Want To Know More? Find out how Big Data In Business Operations is helping organisations change their processes and make more informed decisions.

The decisions you make at this stage will impact how much the platform will cost and how complicated it will become. Understanding what you want your platform to do will help your startup or business understand what you want to build and for whom.

What Type of Platform Will You Be Building?

This will be the first thing you have to decide. There are various types of platforms you can build.

Centralised Exchanges (CEX)

These are the most common, allowing users to create accounts and provide order books, matching engines and custodial arrangements. These can be familiar to users but will require strict controls to ensure customers know who is responsible for their assets.

Decentralised Exchanges (DEX)

These use smart contracts and blockchain networks to match trades. Depending on how they are set up, users can trade directly from their wallets. However, there are risks with the smart contracts and the blockchain network. Costs, finality and liquidity will need to be considered.

Hybrid Platforms

This combines some aspects of centralised and decentralised. For example, order matching can be done off chain but settlement on chain.

Brokers

Some platforms are brokers which connect users to liquidity providers.

Which type of platform you choose will depend on the audience you are targeting, the custodial requirements, your resources and what markets you want to target. Getting this decided early will stop you spending money on features that won’t help you.

Know Your Business Model

You will want to ensure the technology you implement will support your business model.

Will your platform be for retail traders, professionals, businesses or institutional clients? What products will you offer? Spot trading only or more advanced products in the future? Will you be offering crypto to crypto pairings, fiat to crypto pairings or both?

You will also need to think how you will make money. Will you be charging fees for trading, withdrawal fees, subscriptions or premium services?

Usually trying to build a minimum viable product (MVP) with achievable features will be the best option. This will allow you to test the demand, check critical functionality and understand any potential issues.

Security

As you will be dealing with sensitive account details and potentially assets that aren’t easily recovered, you will want to ensure security impacts your architecture.

Consider the following:

Authentication: Ensure secure authentication processes are in place, using multi-factor authentication, session management and role based.

Wallet & Keys: Decide how you want to protect your private keys and who can authorise transactions. If you want to manage the custodial requirements or if you want to use a custody specialist. Withdrawals: Consider whether you want to allow withdrawals only to approved addresses, have limits on how much can be withdrawn, extra verification processes, detecting anomalies and manual checks.

APIs: Limiting API usage, ensuring secure authentication, validation and correct permissions.

Infrastructure: Isolate your infrastructure, ensure secrets are secured, detect any anomalies and ensure you have back-up and recovery processes in place.

Hot & Cold Wallets, multi-signature and Multi Party Computation (MPC) may be required depending on how you are managing the custodial requirements.

Smart contracts will require their own security checks. Where possible, have them audited by a third party. No single control will fully mitigate any risks so ensure you have multiple layers.

Liquidity & Trading Engine

Having a nice looking platform will not always mean you will have a good marketplace. You will need to ensure users can execute orders reliably and there is enough liquidity.

If you are building an order book exchange, you will need to ensure your matching engine works correctly. This will include prioritising orders, accurate execution, handling multiple requests, cancelling orders and mitigation against failures.

Liquidity will be key. If you don’t have much depth, you could find prices fluctuate a lot between orders. Businesses will need to decide what liquidity they want. Will they get it from market makers, external exchanges, liquidity providers or something else?

You will also need to ensure your records are accurate. This should include having a reliable ledger, reconciling and idempotent processes to ensure you don’t double post.

These processes should be thought through carefully to avoid issues.

Choose The Right Blockchain

Ensure you are choosing a blockchain that suits your product.

Different blockchains will have varying costs, confirmation times, ecosystems, smart contract capabilities and infrastructure requirements. If you are supporting multiple blockchains, make sure you have the correct deposit addresses, token standards, confirmation rules, monitoring and withdrawal processes.

Consider if you want to run your own blockchain nodes or use a managed service. Running your own nodes can give greater control but can be more resource intensive.

Third party services will also need consideration. Using payment gateways, ID verification, custody providers, market data and liquidity will help speed up development. However, make sure they are reliable, what the costs are, how secure they are and what alternatives you have.

Ensure your integration will support your current requirements but not make it too difficult to scale in the future.

Compliance

Depending on where you are based, what type of platform you are running, where your customers are and what services you provide, you will have differing compliance requirements. Centralised exchange, non-custodial application or broker may all have different requirements.

Depending on how you’re operating and what country you’re in, you may have requirements around verifying customer identity, anti money laundering, sanctions, monitoring transactions, keeping records, reporting and data protection. You may also need a license or registration.

Make sure you speak to a qualified legal and compliance professional to understand what requirements you need to meet.

This can impact your software. You may need processes in place for verifying ID, transaction limits, detecting suspicious activity, audit logs and admin checks.

If you leave this until after launch, it could cost you a lot of money to re-design. It can also cause delays and limit what markets you can operate in.

Choose The Right Architecture

Ensure you have an architecture that will support the performance, security and uptime requirements of your platform.

Typically your architecture will include:

Web/mobile application for trading and accounts. Backend services for users, orders, balances and transactions. Matching engine for order book. Database and ledger to keep accurate financial records. Blockchain nodes or external blockchain APIs. Wallet and custody. Monitoring, reporting and admin.

Using cloud, containers, caching, messaging and automation can help support scaling.

However, using microservices or complicated infrastructure just because they are popular can add extra costs. An easier architecture may be better for a new product, ensuring security boundaries are clear and to help with future development.

Set out what performance you expect from your product. How much trading volume do you expect, how quickly your API will respond, how available your system will be and what your recovery objectives are. Run load tests to see if your architecture can meet these requirements.

Build Or Buy?

Most businesses will have three general options. Build your own platform, use a white label or use existing services and build some functionality.

Building your own platform will give you greater control but will require more work from the engineering team. More testing, maintenance and investment into security.

White labels can speed up development but you need to think about what limitations they will have. How flexible they are to integrate, what the licensing terms are, how secure they are and what alternatives you have.

Using a mix of existing services and building your own can be a good middle ground. For example, using existing ID verification and custody providers but building your own trading application, customer processes or business specific logic.

Think about the total cost of the platform. What costs will you have for infrastructure, auditing, third parties, regulatory, monitoring, customer support and maintenance?

Testing A good development process will include testing.

You will want to test the full trading process from verifying the account, placing an order, executing, updating balances, settling and withdrawing.

Make sure to test under normal and failure conditions. What happens if the blockchain gets busy? What if a liquidity provider goes offline? Can you recover from a database failure without double posting?

Performing security checks, penetration testing, performance testing, reconciliation and disaster recovery will help prepare you for launch.

Rolling out your product in phases will allow you to see how the system is behaving. Fix any issues and slowly increase your access. Ensure you are ready to deal with any incidents, have monitoring alerts, support processes and clear roles for customers.

Final Thoughts

There are many decisions to make when building a cryptocurrency trading platform. The type of exchange will determine how you will store and settle assets. Security and compliance will impact the architecture. Liquidity will impact the trading experience and infrastructure and operations will determine how well it can scale.

The best way to build your platform is to know what you want it to do, what requirements you need and create a realistic development plan.

To learn more about the technical side, blockchain integration and development, take a look at our guide on cryptocurrency trading platform development.

Making these key decisions will give your business a solid foundation to build a secure, scalable and sustainable digital asset trading platform.

A progressive web app is a great way to improve the user experience on mobile. PWAs have many benefits including installability, offline functionality, caching and push notifications. This article will show how a focus on progressive web apps can help improve performance, engagement and ultimately increase mobile conversions.

What is a Progressive Web App?

A Progressive Web App is a web application which offers a similar experience to a native app. They can be used to improve performance by offering installability, offline functionality, caching and push notifications depending on how they are implemented and supported by the browser.

As they are web based, you don’t have to download any app from an app store to use them.

This can help reduce friction when users browse your online shop.

Challenges

Many online retailers will encounter issues on their mobile site including;

• Slow loading pages
• Difficult navigation
• Checkout issues
• Unstable connection
• Not much engagement from users\

Overall, this can negatively impact user conversion, satisfaction and ultimately revenue. In order to increase performance, we should focus on speed and usability.

Solutions

By implementing a PWA strategy, we can help overcome the challenges.\

1.Faster page speeds

Caching commonly used resources and optimising your JavaScript, images and other assets. Using service workers can help deliver cached resources at the right time.\

2.Easy navigation

Having clear product categories, easy to use menus, clear search tools, and easy to read information will improve user experience.\

3.Easy checkout

A simple checkout process with minimal steps, easy to use form fields and clear indication of delivery charges, payment methods and order details.

4.Stable performance

Well designed PWAs can help deliver offline functionality for key resources and have useful fallbacks. However, any transactional functionality still require the right connections and backend support.

5.Easy to return

If it can be supported, having prompts to install and permission based notifications can help users return to your retailers site.

Results

As shown by the title, this case study shows a 25% increase in mobile conversion. This shows how a focus on improving mobile can add real value to your business.

However, it is important to ensure you are measuring the right data from your analytics and have set a clear baseline.

For example, if your mobile conversion rate increases from 2.0% to 2.5% this is a 25% increase in conversion rate. An increase of 0.5%.

When looking to measure the impact of your PWA, we recommend measuring;

• Mobile conversion – How many users are converting on mobile.
• Page speed – How quickly key content loads.
• Cart abandonment – How many users are abandoning their cart.
• Bounce rate and engagement – Are users engaging with the site.
• Revenue per visitor – How much revenue you are generating.
• Returning users – Are users coming back.

This will give you a good insight as to whether you are seeing real improvements.

Best Practice

When looking to implement a PWA, there are some best practices to follow.

1.Auditing Performance

Use tools such as Google Lighthouse and real user monitoring to identify issues with page speed and usability.

2.Most impactful pages

Focus on pages such as product listing, product details, cart and checkout. These can have a large impact on conversion if there are issues.

3.Optimise Assets

Use images of the correct size, modern formats like WebP, lazy loading and optimise your resources.

4.Cache Strategy

Depending on your products, you may want to cache product information and static assets. However, you will need to make sure you have the right cache for pricing, stock, account and checkout information.

5.Testing

Ensure you test on various devices, browsers and connection speeds.

6.Measuring Performance

Ensure you are measuring your conversion rate and performance before and after. Ensure you are using clear definitions and the same time frame. Where possible, run tests to see the impact.

Why PWAs are important for your e-commerce business

A well implemented PWA can help improve your site by offering quicker page speeds, easy access to your site and easy ways to return. However, PWAs aren’t a ‘one-size fits all’ solution. You should consider your users needs, current infrastructure, maintenance, browser support and expected ROI.

The best results are usually achieved by optimising your site and testing your user experience and conversion rate.

Conclusion

Improving your mobile performance is an important factor for any modern e-commerce businesses. By using progressive web apps, you can offer a flexible solution to provide quick, easy to access and app like shopping without users needing to download a traditional mobile app.

The 25% increase in mobile conversion shown in this case study gives you an idea of the impact you are trying to achieve with your retailers. To see what contributed to this result and view the original case study click here PWA Case Study: How WebRetail Lifted Mobile Conversion by 25%.

Implementing a performance focused PWA strategy can be a great addition to your e-commerce strategy to increase engagement and create a scalable digital presence.

Small businesses might think that large corporations are more likely to be targeted however any business can be vulnerable to cyber-attacks. If your website has out of date software, weak passwords or poor hosting this can leave you open to cyber-attacks.

Good news! You don’t need to spend much money to improve your website security. By implementing some basic security measures you can help reduce the risks and keep your customer data safe.

Here are 12 best practice tips for website security:

1. Use HTTPS & SSL/TLS Certificate

HTTPS secures the information being sent between your website and the user’s browser. This is important if your website requires any personal information, customer data, logins or payment information.

Using a valid SSL/TLS certificate will also help protect your data. Things to do: Install a valid SSL/TLS certificate Ensure your website is using HTTPS. Set up redirects to HTTPS. Check for any mixed content issues or insecure content. Ensure your certificate doesn’t expire.

Whilst very important, this alone won’t fully protect your website.

2. Out of Date Software

One of the most common causes of website vulnerabilities is having out of date software. Cyber criminals look for known vulnerabilities in your content management system, plugins, themes, frameworks and server. Regardless of whether you have a WordPress, CMS or bespoke site, your website should be regularly maintained. Things to do:

Install security updates and patches. Update your plugins, themes, libraries and frameworks. Remove any unused extensions and apps. Replace any unsupported software with supported versions. Test any major changes. Use a regular maintenance schedule.

3. Multi-Factor Authentication Having a secure password can be a good start but if someone gets hold of your logins via phishing or data breaches then you need extra measures to ensure you’re protected. Multi-factor authentication provides an extra layer of security to ensure no unauthorised users get into your account. It’s important to protect your administrator accounts on small businesses as they may have permission to edit content, manage users and access sensitive information. Things to do:

Enable multi-factor authentication on your CMS administrator accounts. Secure your hosting, domain and cloud accounts. Secure your business email accounts used for website administration. Use phishing free authentication. Check how you can recover your account and remove any old access.

Adding this extra layer can make it much more difficult for attackers to gain control of important accounts.

4. Use Strong Passwords Using the same password across your website, email, host and other services can create unnecessary risks. If someone gains access to one account they may try to use the same details elsewhere. Things to do:

Use long unique passwords. Use a reputable password manager. Don’t share any administrator passwords. Change any default passwords. Limit login attempts. Where possible each employee should have their own account.

5. Regular Backups Even with good security measures in place the odd incident can occur. Having a recent backup can help you get your website back up and running if you accidentally delete something, suffer a server issue, ransomware attack or malicious changes. Only useful if you can actually recover it!

Things to do:

Backup your website files, database and important settings. Automate your backups depending on how often changes are made. Store secure copies. Limit access. Regularly test your backups. If your website has lots of orders or customer enquiries, you may want to increase how often you back up.

6. Secure Host Having a secure host can help protect your website. A reputable host will provide protection, monitoring, backups and support if there are any issues. However, different hosts provide different levels of security. Things to do: Check the host has good security and backup policies. Check if they regularly update their server software. Look for hosts offering firewalls, malware detection and DDoS protection. Check how they will inform you of any security issues. Understand what security is your responsibility.

Choose a host that fits your website, what it does and your business requirements.

7. Web Application Firewall A web application firewall helps to filter and monitor your HTTP traffic. Depending on the firewall you use, you can help protect yourself from suspicious requests and certain common attacks. This can be useful for businesses with public facing websites, online stores and customer portals. Things to do:

Use a reputable web application firewall or managed security service. Ensure you’ve set up any security rules. Monitor any blocked requests and security alerts. Review your settings after any major changes. Ensure you’re using secure coding and updates alongside the firewall. A firewall is just a single layer of protection.

8. Limit Permissions & Administrator Access Not everyone working on your website will need administrator access. Having too many permissions can cause extra damage if your account is compromised or changes are made accidentally. An example would be giving an content editor permission to publish articles but not give them access to change server settings or create administrator accounts.

Things to do: Give users the correct level of permissions. Have individual accounts for each team member. Remove access to any employees/contractors leaving. Regularly check your administrator accounts. Don’t use administrator access for everyday tasks. This will limit any unnecessary exposure and help identify any unauthorised changes.

9. Protect Against Malware Malware can cause issues including compromising your website files, causing redirects, injecting unwanted content or exposing your sensitive information. Having a compromised website can affect your customer confidence and search visibility. You should look to prevent and detect any malicious activity.

Things to do: Use a reputable malware solution. Check for any unexpected changes. Remove any suspicious or unused plugins/scripts. Limit your file permissions. Investigate any security alerts from your host and search engines. If malware is detected, investigate why it has occurred, clean up the environment, patch the vulnerability and check any credentials that could be compromised.

10. Validate Forms & Customer Data Having contact forms, sign up forms, search boxes and checkout can cause security issues if not handled correctly. If you don’t validate the input correctly this can cause vulnerabilities such as SQL Injection and Cross-site scripting. This can expose your data or cause malicious code to impact your website users.

Things to do: Validate and sanitise input on the server. Use parameterised queries. Encode output based on the context. Add the correct amount of spam prevention and rate limiting. Only ask for the information you really need from your customers. Encrypt sensitive information and limit access. Any forms or applications should be tested by your developers to ensure they don’t have any common vulnerabilities.

11. Train Your Employees Employees can cause your systems to be compromised by clicking on malicious links, downloading unsafe attachments or sharing their logins. Training your employees can help prevent this. Things to do: Train your employees to spot phishing emails. Teach them how to verify suspicious links and attachments. Have a process in place for reporting any suspicious activity. Ensure they use multi-factor authentication on relevant business accounts. Train them to handle customer information correctly. Regularly check their permissions. Having regular short training sessions can help your employees create better habits.
12. Monitor & Test You should continually monitor your security. As changes are made to your website code, plugins, hosting and business requirements this can cause new vulnerabilities. Regular monitoring will help spot any issues. Things to do: Check your login history and security alerts. Check your website is accessible and not redirecting. Use a vulnerability scanner. Regularly check your security. If your website has a high risk, arrange for professional penetration testing. Document your incident response and recovery. If you suspect your website has been compromised, follow your incident response plan.

Ensure the relevant team are involved, contain the incident, keep logs and if needed restore from trusted backups. Fix the vulnerability. Website Security Checklist For Small Businesses

Final Thoughts

Every small business with an online presence should look to keep their website secure. Having a compromised website can cause disruption, expose your customer data and reduce the trust you have built.

By implementing these 12 best practice tips to improve your website security, you can improve your defences. Start with the basics such as updating your software, multi-factor authentication, strong passwords and trustworthy backups. As your business grows you can improve your monitoring, permissions, applications and incident readiness.

For a more in-depth guide look at Website Security Best Practices: 12 Ways Small Businesses Can Stop Cyber Threats.

The most important thing is to be consistent. Check your security regularly and fix any vulnerabilities. Make securing your customer data part of your daily business.

These issues can occur quite frequently and you don’t need a special UX team, expensive testing tools or any large budgets to identify problems. By setting a clear test goal, inviting a few relevant users and keeping it simple, any small team can find out how people interact with their digital product and identify areas for improvement.

What is User Testing?

User Testing is when real users are asked to interact with your website, mobile application or digital product to complete certain tasks. This helps to identify if users can easily navigate your product, find information and achieve their goals. For example, if you run an E-commerce business you may want to ask your user to find a product, compare two items and checkout.

This provides insight into any confusing product filters, unclear pricing or extra steps.

User testing will help you understand how users are interacting with your product, unlike general questioning.

Why is User Testing Important?

Even the best designed websites can have usability issues. As developers and designers will know how the website works it can be difficult to identify where your first time visitors may struggle.

User testing will help you:

Identify usability issues – Where users are struggling to find their way around, unclear labels or complex processes.

Improve conversions – Identify barriers stopping users from converting. Understand what your users expect – Does the product fit with natural thoughts and behaviours?

Save you time in development – Can identify any design issues early on.

Make data driven decisions – You’ll know what to improve based on what you’ve seen.

Using analytics tools you can see where users are dropping off your website. Usability testing can help you understand why.

Step 1 – Decide On 1 Clear Goal Before inviting users to test your product, decide what you want to find out.

Testing everything on your website in 1 go can become complicated and not give you clear results. Pick a specific question to test.

Maybe: Can first time visitors understand what our product does?

Can customers find pricing information?

Can new users register?

Can visitors find the contact form and send an enquiry? Can users find a specific service?

Pick 1 main goal for your first test.

This will make it easier to create realistic tasks to test.

Step 2 – Find Users (No Budget Required) You don’t need to use a professional research panel.

Just find some people that match your target audience.

Depending on your product, users could be: Current customers, recent website visitors, newsletter signups, members of relevant online groups or people in your professional circle.

For a small usability test pick 3-5 of the relevant users. This won’t guarantee you’ll find all usability issues but it will help you identify any issues. You can run further tests if needed.

When choosing your users: Ensure they match your target audience. If testing for new users pick people who haven’t used the product before. Don’t just use colleagues who know how the interface works.

Be clear about why you’re doing the test with them and gain permission to record. Offer a reasonable reward if needed but don’t influence their feedback.

The aim is to understand how real users will interact with your product.

Step 3 – Create Simple Tasks When you give your users tasks to complete it will make the testing much more useful.

Avoid giving them specific instructions on where to click or which buttons to press. This can accidentally mask any issues.

Instead of: Website Navigation – Click on the Services menu and open the web development page. Try: You’re looking for a company who can help you build a website.

Can you find the information you’d need to decide if this is the right company for you? E-commerce Checkout – Use the filters to find a product and click on add to cart. Try: You need to buy a gift within a certain budget.

Can you find something that would work and tell me what you’d do next? Mobile App Registration – Tap on sign up, fill in your details and continue. Try: You’ve downloaded this app and want to create an account.

Can you show me how you’d get started? This will give users a more natural interaction and will show if they’re getting the right information at the right time.

Create 3-5 tasks for your first session based on your main goal.

Step 4 – Pick an Inexpensive Method There are a few options for testing without any specialist equipment.

Moderated Remote Testing Use a video call to observe your users interacting with your website or app. You can ask them some neutral questions if anything unexpected happens.

This is great for small teams as it doesn’t take too much time to set up and will help you understand their thought process. Face-to-Face Testing Sit down with your user and let them interact with the product on their own device.

This makes it easy to see where they’re hesitating, navigating and reacting. This is useful if there are any physical interactions or if it’s inconvenient to share their screen.

Prototype Testing Use a clickable prototype to test out the user journey. This will give users a chance to interact with the design and give feedback on navigation, layout and flow.

Testing early designs will help you to understand if there are any structural issues. Unmoderated Testing Give users some tasks to complete. They can record their screen, give written feedback and/or give their observations.

This can be useful for simple tasks and getting feedback from a few users but you won’t get as many chances to ask follow up questions when they get confused.

Start with using any tools you have for video calls, screen sharing and note taking. You don’t need to use a specialist testing tool.

Step 5 – Run the Test (Don’t Influence) The way you run your test can impact the results.

If you lead them to the right answer you may never find out where the interface is unclear. Start by telling them you’re testing the product and not them. Ask them what they expect to happen as they navigate.

Give them 1 task at a time. Let them freely interact without interrupting.

See where they’re pausing, hesitating, going back or choosing an unexpected option.

Ask them neutral questions, such as ‘What did you expect to happen here?’. Don’t explain the interface or justify any design decisions. Take notes. Gain permission to record. Sometimes silence can be useful. If they’re struggling to find a button don’t jump in and tell them.

This could highlight an important usability issue. Your test can last around 15-30 minutes depending on how many focused tasks you have.

Step 6 – Analyse the Results Look through your notes and see if there are any patterns.

Don’t just focus on what they said but what they did. Split your findings into 3 categories:

Major Issues – Users couldn’t complete an important task, got confused about an important action or ended up somewhere they didn’t intend to.

Usability Issues – Users completed the task but took longer than expected, got confused or had to try multiple times.

Minor Improvements – Users completed the task but had some small issues, unclear wording or areas to improve.

For each issue write down: What they were trying to achieve. What happened. Where they had the issue. How it affected completing the task. What could be changed. If multiple users struggled to find the contact form this could be due to unclear navigation labels or unexpected page layout. Don’t assume the issue is the same for everyone.

Look at the evidence and decide what to do.

Step 7 – Prioritise and Test Again A usability test won’t help unless you’re making improvements based on the results.

Start with any issues stopping users completing an important task. Then move onto any issues causing confusion and extra effort. Finally, focus on any minor issues relating to aesthetics or small improvements.

Create a simple action plan with the issue, what you’ll do to fix it, who’s responsible, priority and status. Once changes have been made, test the workflow with users who haven’t been coached on the previous version.

For example, if users couldn’t understand the registration form, simplify the labels/instructions and test the same task.

See if the new version is less confusing without causing any new issues. This will help you make data driven decisions. Common Mistakes to Avoid Even with a simple test, you can get misleading results if you don’t plan it well.

Leading Questions – Questions such as ‘Was it easy to find the button?’ will lead them to answer a certain way. Ask them what they expected to happen. Only Using Internal Teams – Employees will know how the product works and the terminology.

Their feedback can be useful but shouldn’t be used as a substitute for real users. Too Many Tasks – Too many tasks can make the testing sessions long and hard to analyse.

Focus on the most important user journey. Not Listening to Negative Feedback – Often the most useful improvements come from unexpected behaviours and failed tasks. No Action – Just having a list of feedback won’t help. Assign owners, prioritise and ensure the improvements work.

Assuming Small Sample Size is Statistic – Whilst you may find some useful issues from a few sessions, you won’t know how frequent the issue is across your whole audience.

Use analytics or wider studies. A Simple 1 Week Plan Small teams can plan their first round of testing in 5 working days.

Day 1 – Decide on your testing goal and create 3-5 realistic tasks.

Day 2 – Find some relevant users and prepare your website/app/prototype.

Day 3 – Complete testing and take notes.

Day 4 – Analyse your findings and identify any recurring issues. Prioritise improvements.

Day 5 – Make any realistic changes and plan to test again.

This is just a guideline and can take longer if your product is complex, you’re struggling to find users or there are major technical issues.

Conclusion

To run an effective user test you don’t need a research team or expensive testing. All you need is a clear question, relevant users, realistic tasks, careful observation and a willingness to improve your product.

Starting small, noting any usability issues, prioritising meaningful improvements and testing again will help make your website and app easier to understand.

The most important thing is to get started! Even a few well planned sessions can help you find issues that may have gone unnoticed.

For more detailed guidance on how to plan and run an effective user test for your website/app read How to Run Effective User Testing for Your Website or App, Without a Research Team by 4Labs Technologies.

What Is Robotic Process Automation (RPA)?

Robotic Process Automation (RPA) is a technology that enables one to use robotic process to perform repetitive computer tasks. RPA bots can carry out various functions in an application, including filling forms, capturing and transferring information from one system to another, and recording information on a computer screen.

Though the term robotic process automation (RPA) implies a robot, it refers to using software to mimic certain activities a human would do at a computer.

For example, a bot would be able to capture information sent to a company’s email and enter them into a customer relationship management (CRM) system to trigger certain automated events or report back to users if any information is missing.

How Does RPA Work?

RPA is a process of performing a set of pre-defined instructions by a bot. Once the bot is set up to complete, it can be deployed to fulfill a request at a given time or whenever a particular event takes place.

The steps include: identifying processes to automate, configuring the bot, testing and deploying the process, and monitoring the bot. For example, businesses can develop a bot that carries out a process, such as capturing or retrieving invoice details from a database and recording them into an accounting system or notifying finance managers if any invoice details are missing.

Common Examples of Using RPA in a Business

RPA can be used in diverse ways to simplify and automate repetitive digital processes and functions. Some of the common areas of use include:

1. Data Entry and Management

RPA bots can assist businesses in digitizing and managing information in spreadsheet software or databases.

2. Invoicing

Bots can support businesses during the invoice creation and management process, including capturing invoice data and recording them into accounting systems.

3. Customer Onboarding

Organizations can use RPA to facilitate the laborious and error-filled customer onboarding process, including creating customer accounts, updating databases, and managing other related activities.

4. Report Generation

RPA can help businesses in generating and compiling reports, including pulling information from various sources and compiling summary reports for internal business stakeholders.

5. Email and File Management

RPA process automation bots can be used to organize or manage customer emails, including sorting and categorizing emails and attachments, renaming files, and moving files into specific folders upon receiving or processing emails.

6. E-commerce Activities

RPA can also include bots that manage e-commerce activities, including processing online orders and managing inventory.

Key Benefits of Robotic Process Automation

Businesses can obtain numerous advantages by adopting robotic process automation (RPA) and deploying bots to manage repetitive digital processes.

These benefits include:

• Enhanced operational efficiencies and improved process quality – bots can perform certain repetitive computer tasks faster and more accurate compared to humans, saving time, reducing errors, and helping to improve the quality of information.

• Quick turnaround of repetitive, rule-based activities – RPA can make it possible for companies to respond to certain requests faster, such as capturing customer feedback forms, creating records in a database or CRM, and managing related processes.

• Greater scalability – well-developed and reliable RPA automation tools can be easily scaled to support a growing number of activities and a higher transaction volume.

• Reliable execution – bots can perform repetitive processes consistently based on a given set of instructions for every transaction captured by the bot. Organizations can also reap the benefits of enhanced productivity and focus on higher-value activities, including customer support or addressing more complex issues.

• Improved resource management – RPA can help employees to use their time and effort more efficiently by automating routine, repetitive, and error-ridden processes.

• Enhanced compliance – businesses can benefit from increased compliance because of the consistent and reliable delivery of digital processes by the RPA bots.

The extent of the benefits derived from RPA depends on the nature of the process being automated, the costs of setting up the automation processes, and the maintenance costs of maintaining the RPA tools.

What Are the Limitations of RPA?

Though RPA can be beneficial for a company that adopts the right processes and addresses the challenges, it might not always be a good idea.

Some of the main limitations, risks, and considerations of adopting an RPA bots include:

The need for a set of defined processes – RPA bots are not flexible and can only carry out predefined tasks. The tasks to be automated using RPA bots need to have a set of standardized data and instructions.

Moreover, most traditional RPA bots do not support unstructured data, such as text data, and, therefore, require organizations to have a well-structured data platform to support their process.

Need for regular maintenance and updates – the automation processes may need frequent maintenance and updates, especially if they experience inconsistencies or changes in the target application, such as new loginscreen prompts.

Security risks – the bots might have access to confidential business information, and thus, there is a risk of unauthorized access to the information, including theft of login credentials or unauthorized changes to target systems.

Limitations in exception management and resolution – RPA bots might require human assistance or intervention in resolving exceptions, and thus, organizations need to have the relevant skills to monitor and manage the RPA bots.

Potential loss of value when automating poorly-structured business processes – businesses might end up spending more resources on automating processes that do not fit well with RPA technologies.

Moreover, in some cases, organizations might want to re-engineer business processes before automating them, especially if the processes are poorly organized or require too many decisions to make.

Companies considering adopting RPA technology need to carefully weigh the risks and benefits and ensure that they fully understand the cost-benefit analysis and the potential impact on their business.

RPA vs. Artificial Intelligence: What Is the Difference?

RPA and artificial intelligence (AI) are somewhat related but different technologies.

RPA refers to adopting bots to complete repetitive computer-based tasks based on a set of defined instructions, whereas AI entails using technologies to enable machines or software to mimic human activities, such as analyzing information, identifying patterns, and managing more complex data structures. Thus RPA can be considered a subset of AI.

For example, RPA bots can help to fill forms or transfer information captured from a spreadsheet into a business application.

In contrast, AI can be used to analyze a customer complaint message and identify the issue or task mentioned in the complaint message (e.g., refund). However, RPA bots can be used to transfer this information into the relevant business application.

RPA tools can work together with AI technologies, and the combination could be powerful, depending on a given set of requirements.

How Can Businesses Get Started With RPA?

Any organization interested in adopting RPA to help automate some of its repetitive digital processes should look out for the best processes to address first.

It is always a good idea to start with a simple process, as opposed to trying to automate all business processes.

A good starting point in adopting RPA technology includes:

Identifying tasks that are repetitive, time-consuming, and relatively standardized.

Documenting the current process and look out for unnecessary or extra steps.

Considering the time, cost, and quality benefits of automating the process.

Selecting the most appropriate software to deploy RPA in the organization.

Designing and testing the RPA process.

Addressing any security and other issues identified during the testing phase.

Deploying the RPA process and looking out for additional opportunities to scale the process.

Looking at opportunities to adopt new processes.

Selecting the most appropriate process can be more important than choosing the most advanced automation tool.

For a more detailed overview of RPA, including how it can be used in a business and its limitations, see this blog: Introduction to Robotic Process Automation (RPA) .

Conclusion

Robotic Process Automation (RPA) makes it possible for organizations to help complete repetitive computer-based tasks without necessarily replacing their software applications. From data entry and customer onboarding to invoicing and report generation, RPA can be beneficial.

However, organizations need to consider the best process automation to adopt and understand the cost-benefit analysis, risks, and maintenance costs of using RPA.

By identifying and testing a sample business process, organizations can better understand how RPA can support their businesses and determine the best way of scaling the solution.

This guide explains how staff augmentation works, from identifying resource requirements to onboarding professionals and measuring project performance.

What Is Staff Augmentation?

Staff augmentation is a workforce strategy in which a business brings in external professionals to supplement its existing team. These professionals work alongside internal employees, contributing specific technical expertise or additional capacity for a defined period.

For example, a software company developing a new application might need two React developers, a QA engineer, and a cloud specialist. Instead of hiring permanent employees for every position, the company can use staff augmentation to access the required expertise.

This model is commonly used in software development, IT infrastructure, cybersecurity, data engineering, and digital transformation projects.

How Does Staff Augmentation Work? A Step-by-Step Process

Step 1: Identify Your Business Requirements

The first step is understanding why additional professionals are needed. Businesses should evaluate their current team's capabilities, project deadlines, technical challenges, and resource gaps.

Consider the following questions:

Which skills are missing from the existing team? How many additional professionals are required? How long will the project take? What technical experience is necessary? What is the available budget?

Clearly defining these requirements helps businesses identify suitable candidates and avoid unnecessary hiring costs.

Step 2: Choose the Right Staff Augmentation Partner

Once the requirements are clear, the next step is selecting a provider that can supply qualified professionals.

Evaluate potential partners based on their technical expertise, candidate screening process, communication practices, security standards, pricing structure, and ability to scale resources when needed.

For technology projects, it is particularly important to choose professionals with experience in the required programming languages, frameworks, cloud platforms, or development methodologies.

Step 3: Define Roles, Skills, and Responsibilities

Before selecting candidates, establish clear expectations for each role.

For instance, a company building a web application might require a backend developer experienced in Node.js, a frontend developer familiar with React, and a QA engineer capable of automated testing.

Define responsibilities, expected deliverables, reporting arrangements, working hours, and collaboration requirements. This ensures that augmented professionals understand their responsibilities from the beginning.

Step 4: Screen and Select Suitable Candidates

The staff augmentation provider identifies candidates who match the business requirements.

The selection process may include technical assessments, portfolio reviews, interviews, reference checks, and evaluations of communication skills.

Businesses should assess both technical proficiency and the ability to collaborate with their existing team. A candidate who understands the technology but cannot communicate effectively may struggle in a collaborative development environment.

Step 5: Finalize the Agreement and Onboard the Team

After selecting the candidates, both parties agree on the engagement terms.

Important considerations include pricing, contract duration, working arrangements, confidentiality, intellectual property ownership, data security, and termination conditions.

Once the agreement is finalized, onboarding begins. Provide access to the required tools, documentation, repositories, communication platforms, and project management systems. Establish security permissions and explain the team's development standards.

Step 6: Integrate Professionals Into Your Existing Team

Successful staff augmentation requires effective collaboration between internal employees and external professionals.

Augmented team members should understand the project's goals, technical architecture, workflows, and communication practices.

Tools such as Jira, GitHub, Slack, and Microsoft Teams can help coordinate tasks and maintain visibility across distributed teams.

Regular stand-ups, code reviews, sprint planning, and progress updates help everyone work toward the same objectives.

Step 7: Monitor Performance and Project Progress

Although the staff augmentation provider supplies the professionals, the client generally retains day-to-day project direction in this model.

Businesses should establish measurable performance indicators, such as:

Completion of assigned tasks and milestones. Code quality and testing results. Sprint delivery and issue resolution. Communication and collaboration effectiveness. Adherence to security and development standards.

Evaluate performance consistently and provide constructive feedback. The goal is to ensure that augmented professionals contribute meaningfully to project outcomes.

Step 8: Scale Resources or Conclude the Engagement

As project requirements change, businesses can adjust the size or composition of their augmented team, subject to the agreement and resource availability.

Additional specialists may be introduced when workloads increase, while resources can be reduced when specific project phases are complete.

At the end of the engagement, ensure that documentation is updated, knowledge is transferred, access permissions are revoked where appropriate, and outstanding tasks are handed over to the internal team.

Staff Augmentation vs. Traditional Hiring

Staff augmentation and traditional hiring serve different workforce needs.

Staff augmentation is useful when a business needs specific skills quickly, requires temporary project support, or wants flexibility in team size.

Traditional hiring is generally more appropriate when a company needs permanent employees for long-term responsibilities, organizational continuity, and ongoing business operations.

The right choice depends on project duration, skill requirements, budget, management capacity, and long-term workforce strategy.

Key Benefits of Staff Augmentation

1. Access to specialized skills: Businesses can bring in professionals with expertise that may be difficult to find internally.
2. Flexible team scaling: Teams can expand or contract according to project demands and contractual arrangements.
3. Reduced recruitment workload: Working with a suitable provider can reduce the time spent sourcing and screening candidates.
4. Greater project control: Unlike many fully outsourced arrangements, staff augmentation generally allows the client to direct day-to-day work and integrate professionals into existing workflows.
5. Support for tight deadlines: Additional capacity can help teams address temporary resource shortages and maintain project momentum.

However, staff augmentation is not automatically cheaper or more effective in every situation. Businesses must account for onboarding, coordination, provider fees, security requirements, and ongoing management.

Common Staff Augmentation Challenges and How to Address Them

Communication gaps: Establish clear communication channels, regular meetings, and documented expectations.

Inconsistent code quality: Use shared coding standards, automated testing, and mandatory code reviews.

Security risks: Apply least-privilege access, confidentiality agreements, secure development practices, and appropriate monitoring.

Unclear responsibilities: Assign ownership for tasks, approvals, and deliverables before work begins.

Knowledge dependency: Maintain technical documentation and conduct regular knowledge-sharing sessions to avoid relying on a single individual.

When Should a Business Consider Staff Augmentation?

Staff augmentation can be a practical option when a company is launching a new software product, modernizing legacy applications, migrating infrastructure to the cloud, implementing AI solutions, or managing a temporary increase in development workload.

It is particularly useful when the existing team has the capacity to manage the project but lacks specific skills or additional resources.

For projects that require a provider to take full responsibility for delivery, an outsourced project or managed-services model may be more appropriate.

Conclusion

Staff augmentation provides businesses with a structured way to access specialized talent, increase team capacity, and adapt to changing project requirements without committing to permanent hires for every need.

The process works best when companies define their requirements clearly, select qualified professionals, establish effective onboarding procedures, maintain strong communication, and measure performance against agreed objectives.

By treating augmented professionals as integrated members of the project team, organizations can improve collaboration and make better use of external expertise.

Further reading: For a more detailed explanation of the process, explore How Staff Augmentation Works (Step-by-Step): A Complete Guide from 4Labs Technologies.

What has been your experience with staff augmentation? Have you found it more effective than traditional hiring for software development projects? Share your thoughts and lessons in the discussion.

1. Define Business Needs Beforehand

Prior to identifying the most suitable software development partner, it is vital to clarify the requirements and goals of the project. In particular, organizations need to answer the following questions:

Do I need to design and develop a customer-facing application, a business platform, a web or Web 3 app, or do I need to upgrade my existing tools? Depending on the objective of the software, different development approaches, stacks and security measures may be required.

What are the main features and benefits that my business or customers need? How much is the allocated budget for software development, and how soon does the product need to be released? What technical, performance, compliance, and data-related requirements does my project have?

A clear statement of requirements enables you to find and shortlist developers who have relevant expertise and can address your vertical-specific demands. At the same time, vague directions may lead to miscommunication and unrealistic expectations.

1. Ask About Technical Expertise and Similar Experience

Many companies specialize in particular types of applications or industries. Therefore, it is vital to identify the areas where your potential development partner has relevant expertise. For example, a software development company may have extensive knowledge and experience in building enterprise-level or AI-driven applications but may lack competencies in developing Web3 apps. When choosing the best software development partner for your organization, it is vital to ask about their past experience with:

Web and mobile app development,

APIs, cloud computing or enterprise software,

AI or blockchain development,

Modernizing legacy systems,

And other technical skills relevant to your project.

In addition, Web3 developers should be able to implement smart contracts, tokens and wallets, decentralized apps and blockchains, and related technologies. In particular, developers need to discuss the specific challenges associated with your project, provide references and demonstrate relevant past performance and product examples.

1. Discuss Scalability and Maintainability

Developers need to explain how their proposed solution will scale in terms of users, data, integrations, features, and performance while balancing business and technical requirements. In particular, it is essential to understand how the proposed system will handle rising traffic, storage costs, API calls, and other potential limitations before the application is launched or goes live. Other essential questions to ask about scalability and maintainability include:

How to optimize the performance of the application or product?

Will the system allow for easy expansion of features and integration with new services?

What tools will be used for system monitoring, performance analysis and testing?

How to reduce technical debt?

How to choose the right architecture for the application?

How to ensure compliance with industry standards?

The best software development companies offer practical advice while avoiding the temptation to over-engineer the system. The right balance is achieved when developers create a solution that fulfills current requirements while leaving enough room for future development without incurring additional costs.

1. Learn About Development Processes

A competent software development company will have well-documented development processes which enable them to build high-quality products within the specified timeframe while managing risks and scope creep. In particular, many software developers use the Agile methodology which helps them respond to emerging requirements in a structured way while continuously delivering incremental improvements to the product. To ensure that the development processes are aligned with your expectations, be sure to ask about the following:

Requirements gathering, documentation and validation,

Iteration planning, execution and review,

Testing and quality assurance,

Change control, additional costs and approval processes,

Bug tracking and resolution,

Deployment, maintenance, and support.

In particular, it is essential to understand how the development team will report their progress and what tools they will use for project management, documentation, and stakeholder communication. Ideally, you should ask to review an example RFP response or project plan before making a final decision.

1. Understand Communication and Collaboration Dynamics

A software development partner with the best technical expertise may underperform due to poor communication and collaboration. Therefore, it is essential to clarify who will be responsible for project management, how often the team will provide updates, and what communication channels will be used. In addition, be sure to discuss time zone differences, team availability, escalation policies, and other relevant factors.

The best software development companies will be able to interpret technical solutions in simple terms while asking the right questions about your business needs. Avoid communication breakdowns by asking the developer to explain a particular aspect in non-technical language. At the same time, a competent developer will not blindly follow your instructions but will ask clarifying questions about your unique use case, such as potential regulatory requirements or specific features that need special attention.

1. Discuss Security Measures

Depending on the nature of your application, the security requirements may vary substantially. In particular, developers should explain how they can protect your app from external threats, such as DDoS attacks, hacking attempts or data breaches, and internal vulnerabilities, such as coding errors or misconfigurations. In particular, be sure to ask about authentication and authorization mechanisms, encryption practices, third-party libraries and frameworks, code reviews, penetration testing, auditing, and disaster recovery. If you are developing a blockchain-based application, smart contract security is of particular importance, as vulnerabilities in this area are often challenging and expensive to remediate after deployment.

Another essential security-related issue is data ownership and regulatory compliance. Before finalizing the engagement with a software development company, be sure to clarify who will be responsible for updating and maintaining the application after launch, addressing security issues, and helping you comply with relevant data protection laws.

1. Compare Costs and Additional Expenses

When searching for the best software development company, many organizations make the mistake of selecting the partner that offers the lowest price. While it is essential to consider the allocated budget for software development, it is equally important to compare the proposals from different developers. When choosing a software development partner, be sure to compare the following aspects:

Project scope, staffing, delivery timelines, and required resources,

Costs related to testing, documentation, cloud services, licensing, maintenance, and support,

Ways to reduce the overall cost of development,

Potential additional expenses after launch,

Payment terms, assumptions, and other relevant factors.

In particular, it is essential to understand how much you will have to pay for application maintenance and updates after launch, as these expenses are often overlooked during the initial project planning stage. In addition, ask the developer to itemize the costs and provide a cost breakdown.

1. Review References, Past Performance, and Ownership Details

It is essential to conduct thorough research before hiring a software development partner. In particular, it may be a good idea to ask for references and inquire about the satisfaction of previous clients. In addition, it is a good idea to ask the potential developer to provide examples of past performance, such as how they addressed a particular challenge or resolved a difficult issue during the development process.

The best custom software development companies offer full transparency regarding their past performance, key strengths and weaknesses, and the scope of their capabilities. In addition to reviewing testimonials and past performance, be sure to clarify the details of ownership, documentation, credentials, and data access. In particular, you should ask the potential developer about their rights to the source code, intellectual property, and training materials and ensure that you have clear access to the development repositories and project data.

These details are particularly important if you want to maintain the software in-house or work with different development partners in the future.

1. Ask About Maintenance and Support Options

After selecting the best custom software development company, you should also discuss the post-launch maintenance and support options. In particular, you should ask the developer about the estimated time and cost of maintenance, the response time for bug fixing and feature requests, and the availability of technical support. Another important question to ask about maintenance and support is whether the developer will provide documentation and knowledge transfer to your team, which will help you reduce the maintenance costs.

1. Use an Evaluation Checklist

The questions above can serve as the basis for an evaluation checklist that can help you compare the shortlisted software development partners. In particular, you may want to use a simple scale from 1 to 5 to rate each of the following areas:

Technical expertise and experience in your industry,

Quality of past performance and references,

Scalability and maintainability of proposed solutions,

Development processes and testing practices,

Communication and collaboration efficiency,

Security and intellectual property protection,

Cost transparency, terms and conditions,

Maintenance and support options.

After completing the evaluation, you should compare the scores for each developer and match them to your budget and project requirements. In particular, use this checklist to identify the most critical requirements that should not be compromised and the aspects that can be negotiated.

When Choosing a Custom Software Development Partner in 2026, businesses should carefully weigh several key factors, namely business requirements, technical expertise, development processes, security practices, budget considerations and long-term maintenance options. It is essential to choose the development partner that understands the business goals, has the right technical expertise, uses industry best practices and proven methodologies, follows the highest security standards, provides full transparency about costs and timelines, and offers post-launch support and maintenance.

By carefully comparing the strengths and weaknesses of different software development companies and asking the right questions before hiring a development partner, organizations can reduce the risks and costs of custom software development while maximizing the value of their investment.

For related insights, see the best software development company in 2026 article.

When choosing a software development partner, what factors are most important for you: technical expertise, communication, security, scalability, or long-term costs?