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The ultimate guide to conducting a UX analysis

Last updated

30 April 2024


Chloe Garnham

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When you launch a product, you want your customers to love it. 

If they experience issues while using your product, you won’t necessarily know what those problems are or where they occur. 

Ultimately, you can’t read your customers' minds, but a user experience (UX) analysis is the next best thing. An analysis helps you deeply understand your customers to create more tailored and satisfying experiences for them. 

With a UX analysis, you can smooth out areas of friction to deliver more optimized and seamless product experiences for happy, engaged customers. 

Let’s get into everything you need to know about UX analysis, including methods, tools, and benefits. 

What is UX analysis?

A UX analysis (or UX assessment) is an essential aspect of UX research. It’s the process of gathering data about your customers, their experiences, preferences, wants, and needs. 

A UX analysis involves deeply analyzing data from UX research to derive key insights and recommendations to improve the overall user experience. 

Conducting an analysis helps you better understand your customers and create more useful and satisfying products and services. 

An analysis helps you gain critical insights from raw data so you know precisely which product changes to make. This can boost conversion rates, improve retention, and increase referrals––great for the bottom line.

The benefits of a UX analysis

Conducting a UX analysis has many key advantages. 

Most importantly, you’ll discover more about your customers, helping you better solve their problems. This can result in a host of benefits for the organization:

Cost reduction

Solving usability issues early on can ensure your team deals with problems that may impact conversions down the line. 

If you perform a UX analysis throughout product development and launch, you can also avoid reworks and redesigning solutions, saving your team time and money.  

Increased conversion rates

Customers want products that solve their problems, but they also want satisfying and meaningful experiences. 

If you can provide those experiences by knowing their wants and needs, your products and services are much more likely to convert. 

Increased customer loyalty

Customers are more likely to be loyal to brands that truly get them. Providing valuable products that solve customer problems will likely increase brand loyalty and retention while boosting referrals. 

Better engagement 

Users are more likely to stay engaged with products that meet their needs and wants. Developing satisfying products without friction and frustration will mean happier customers and better customer engagement. 

SEO improvements 

A UX analysis can also indirectly impact search engine optimization (SEO). If your website is simple to interact with, it reduces bounce rate, which is a positive signal for search engines. 

You can iron out things like reduced page load, mobile friendliness, and clearly structured information. These positively impact SEO rankings. 

Who is responsible for conducting a UX analysis?

Depending on the organization's structure, conducting a UX analysis or UX assessment may involve collaboration from various team members. 

Some key roles typically involved in an analysis include: 

UX researchers

Typically, UX researchers are in charge of UX analysis and research. Researchers are highly skilled in gathering data from multiple sources. They’re also in the best position to process and analyze data for deeper insights to share with other teams for action. 

Product managers

Product managers play a crucial role in overseeing a UX analysis process and feeding key insights to relevant stakeholders. This ensures the team turns the analysis into positive actions. 

UX designers

Design teams are often closely involved in the UX analysis process. Understanding what users want can help designers create wireframes, prototypes, product concepts, and user flows that align with user expectations. 

Web analysts

Web analysts are essential to UX analysis because they can decipher key metrics, helping teams learn about the user journey. They can also monitor whether improvements are boosting key metrics. 


Once you’ve completed an analysis, you’ll generally feed product developers critical information about changes that will make products more seamless and user-friendly. These can significantly improve the user experience.

Changes may involve developers optimizing performance, enhancing features, and improving navigation or accessibility.

When should you conduct a UX analysis?

You can perform a UX analysis at various product development and optimization stages.

The key stages where a UX analysis can be necessary include: 


It’s essential to conduct a UX analysis during product development. This can ensure you launch something satisfying and useful for your customers. 

An analysis will help you gather critical data that you can analyze for actionable insights. 

Conducting a UX assessment early on can save you time and money in the long run, preventing the need to rework or redesign products. 


Conducting a UX analysis once you’ve launched products is also helpful. This will help your team understand users’ reactions to your products. 

With this information, you can optimize your products to ensure they perform their best.

To respond to user feedback

When gathering feedback from users, you may discover that they want certain features or areas of friction ironed out. A UX analysis can help your team examine that feedback and whether it reflects other users' experiences. This empowers your team to make the necessary changes to improve your products.


Routinely conducting a UX analysis is the best way to ensure that your products continually meet your customers' needs and expectations. Rather than reacting to user feedback, proactivity is often the best way to keep customers engaged and coming back for more. 

UX analysis methods for boosted customer satisfaction 

Various UX analysis methods exist. These cohesively gather user feedback so you can properly analyze it for valuable insights. The right method depends on your project and business goals. 

Some key analysis methods include: 


An audit can provide an overview of your existing products and how users interact with them. This is important if you already have a product suite that you’d like to optimize for maximum engagement and loyalty. 

Performing an audit will help your team understand: 

  • How your products are performing 

  • Where users encounter friction 

  • Which improvements you can make for better products

Concept testing

For new product ideas, concept testing can help teams discover whether a product is ready for market and where to make changes to ensure it will launch successfully.

This can provide direction and identify issues early on, saving time and money in the long run.  

Heuristic evaluations

A heuristic evaluation identifies issues with a design interface. It uses a set of usability guidelines called heuretics. 

This method can provide a faster analysis and offer expert-driven standards for making improvements. However, those standards may not be relevant to your specific project. 

10 best UX analytics tools for user research in 2024 

Getting started with a UX analysis can be challenging and time-consuming without advanced tools. 

Many tools on the market streamline the analysis process, making gathering, storing, and analyzing data for actionable insights simpler than ever. 

Google Analytics

Google Analytics helps teams gain user data on websites and apps. This offers essential insights into user behavior throughout your digital offering. 

Google Analytics offers access to data across many areas, including webpage visits, bounce data, conversions, sources of website traffic, and user demographics. 

Real-time data and custom reports can help your team see where your website and app are performing well and where you can make key improvements. 


Hotjar offers various essential tools to help organizations uncover how users interact with websites and apps. In addition to analytics, Hotjar provides heatmap technology that tracks users through websites to understand what’s working and what isn’t.

Hotjar has a recording function that shows teams how users move through a website, their reactions, and areas of friction. This allows researchers to hear what real users think about products and digital offerings. 


Dovetail makes it simple for teams to gather, store, and analyze all customer data in one streamlined place for useful insights. 

Through visually engaging dashboards and concise summaries, translating raw data into positive actions is simpler than ever before. 

Dovetail helps teams continuously improve their products to satisfy customers and increase business success. 


Contentsquare offers a range of products to help teams optimize the user experience. 

Zone-based heatmaps, customer journey analysis, error analysis, frustration scoring, and retention analysis are just a few of its tools. 

These help teams gather key data, gain essential knowledge, and use those insights to improve products. 


Otpimizely boosts experimentation success for better customer outcomes.

Through A/B testing, customer experimentation, and website personalization, the platform helps teams deliver better, more satisfying experiences for increased conversions. 


Omniconvert allows teams to understand, segment, and retain customers while attracting new ones. 

Omniconvert helps businesses improve their virtual presence and boost conversion rates through optimization methods, such as A/B testing, surveys, segmentation, and personalization. 

Adobe Analytics

Adobe Analytics offers a suite of web analytics tools to help businesses deeply comprehend their website and app performance, user behavior, and digital marketing effectiveness. 

Some of its offerings include real-time reporting, A/B testing, customization, segmentation, and data collection and analysis. 


UserTesting provides access to real people who can test your products and offer feedback, allowing you to see how users respond to new products. 

This can boost the success of the product development process, ensuring that anything you launch will satisfy customers and meet their needs. 

Crazy Egg

Through heatmaps, screen recordings, and traffic analysis, Crazy Egg helps researchers identify challenging areas in their products and make key improvements. 

Crazy Egg can help teams optimize UX experiences and boost conversion rates. 

Quantum Metric 

Quantum Metric provides key performance analytics to determine areas of concern with analytical data. This can reduce bottlenecks and decrease churn. 

Minimizing areas of frustration allows teams to optimize their product offering for boosted loyalty. 

A UX analysis checklist

Get started with a UX analysis by following this best practice checklist to ensure the data you collect is useful and your actions make meaningful differences for your users. 

Stage 1. Data collection

Before conducting an analysis, decide where you’ll get data from. The sources of data collection should provide a cohesive picture of your products and customers while aligning with your core goals. 

You can collect data from analytics tools, customer feedback, interviews, usability testing, and more. 

Stage 2. Structuring UX insights

After gathering data, combine it with a tool like Dovetail. Using an all-in-one platform for storing and analyzing data ensures you don’t miss any important insights.

It’s helpful to tag core themes and organize data to identify core patterns and trends to gain valuable insights. 

Stage 3. Detecting major user pain points

Once you’ve structured the data effectively, it’s crucial to detect the main user pain points as a priority. You should address these areas quickly to solve the most significant issues.  

This could be friction at a shopping cart, high drop-offs on your homepage, or areas with very low conversion. 

Stage 4. Revealing recurring issues

The major user pain points may relate to recurring issues across your product offering or other recurring issues you need to resolve. 

These could relate to customer sentiment, user flows, or confusing information architecture, among others.  

Stage 5. Setting priorities

Once you’ve gained actionable insights, typically, a UX research team or product manager will prioritize the changes from most critical to nice-to-have. 

Prioritization ensures you quickly address urgent user pain points. It also ensures you allocate budgets for essential changes rather than things that won’t impact your customers.

Stage 6. Communicating UX analysis findings

You need to communicate those priorities to key stakeholders to ensure they take positive actions across the business to make those changes a reality. 

This ensures the most noteworthy insights lead to positive improvements for customers.

UX analysis for boosted engagement, conversion, and loyalty 

While you may launch your products with the best intentions and hope your customers will love them, the data may tell another story. 

A UX analysis can help you better understand your customers and how they interact with your digital products rather than relying upon assumptions. 

The insights you gather throughout the process help your team create better and more satisfying customer experiences, ultimately boosting engagement, conversions, and loyalty. 


What is an example of UX analysis? 

Let’s imagine a pet-sitting app where the team has noticed a low conversion rate among users without a clear understanding of the underlying reasons.

UX analysis involves delving into various data sources such as customer interviews, surveys, heatmap data, and usability testing. This unveils user behavior and the product experience. 

Through this analysis, it becomes evident that users harbor concerns regarding trust in the pet-sitting process from both perspectives. 

This finding prompts strategic actions, such as: 

  • Enhancing privacy measures

  • Implementing an approval process to enhance trustworthiness for pet sitters

  • Establishing dedicated support channels for pet owners to address concerns promptly

What is user analysis vs task analysis? 

A user analysis involves gathering, interpreting, and synthesizing data about a target user group's characteristics, behaviors, needs, and preferences. This helps product teams design better products for them. 

Task analysis breaks complex processes into smaller chunks to ensure they are more understandable and manageable.

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