User Path Analysis: Why You Need it And How to Use it

Knowing what your users like or dislike about your website or app can be extremely helpful, and user path analysis helps you uncover that.

You can discover what paths your users take the most, and why, along with which paths they avoid or drop off from. These insights highlight potential opportunities for growth and pain points that need solving.

In short, user path and product analysis are a necessity for all product managers trying to design a smooth user experience. So let’s look at how you can use user path analysis to your advantage.

Summary of user path analysis

• User path analysis is an exploratory model used to track and analyze the sequence of actions and steps users take when navigating through your website or app.
• This type of analysis helps understand user behavior in greater detail, identify any user friction and bottlenecks, and optimize the user experience.
• Performing a user path analysis has several advantages, such as reduced churn, increased retention and customer satisfaction, and greater lifetime value.

It’s always a good idea to conduct a user path analysis, but here are specific moments when it is especially useful:

• Identify product usage patterns to understand the user journey better.
• Study user paths to design an optimal onboarding flow.
• Increase free trial to paid conversions.
• Find and erase areas of friction to create happy paths.
• Examine active user behavior to understand what you’re doing right.

User path analysis might sound daunting at first, but here are the simple steps to make it happen:

• Choose the right user behavior analysis tool.
• Analyze various user segments and types.
• Track user behavior at regular intervals.
• Incorporate customer feedback in your analysis.
• Some useful tools for user path analysis include Userpilot, Google Analytics, and Amplitude.
• If you want a no-code tool that not only performs user path analysis but also enables you to act on the data collected, book a Userpilot demo to see how it grows your business and drives satisfaction!

What is user path analysis?

User paths, also called user flows, are a visual representation of the specific steps users take or experience to complete a task. User path analysis involves tracking and analyzing all these steps to understand how users interact with your website or app.

Analyzing a user’s path is a crucial step in every UX analysis because it helps in better product and feature development.

The benefits of user path analysis

When trying to figure out what your customers want, who should you ask? The customer!

Instead of just blindly developing your product, listen to your customers by studying and analyzing their user flow. This will enable you to gain a deeper understanding of what your user wants and how you can provide them with it.

Apart from this, there are several more advantages of analyzing user flow, which we discuss below.

• Understand user behavior and what makes them stick: Know what users want and develop features around it, thereby increasing repeated engagement and product stickiness.
• Improve customer lifetime value: When you work to give users what they want, they’ll stick around for longer, thereby increasing the customer lifetime value.
• Reduce churn and improve user experience: By identifying and improving friction points where users would drop off, you can provide more positive user experiences.
• Retain more customers: When you uncover and erase pain points users encounter, customer satisfaction goes up, and so does your retention rate.

When should you employ a user path analysis?

The short answer: path analysis can help every single time you want users to be satisfied with your product.

This means at every step of the user’s relationship with you, it is always useful to perform a path analysis. No matter the stage of the user journey, whether it’s onboarding or just signing up for a trial, analyzing the user flow is immensely helpful.

Let’s look at some key areas where user path analytics is especially useful.

Analyze usage patterns to better understand the user journey

Users are generally divided into different segments based on their user journeys. To understand the behavior of various personas and user types across each user journey, it’s best to track multiple user paths.

This way, you can learn what drives customer satisfaction for each persona. Based on this information, simply double down on what works, fix what may be broken, and experience further growth in customer satisfaction.

Analyze and improve your onboarding flow

Studying common user paths doesn’t just point out flaws in the existing paths. It also helps highlight the ideal user flow that leads to product adoption. For example, in Userpilot, you can use the top path function to determine the most effective path for increasing adoption.

Once you know what the ideal is, you can use it to design the best onboarding experience. Such a flow will help users navigate through important steps and explain key features to them.

Also, remember to keep improving existing flows by tracking where users face friction. Then simply step in to optimize the experience across any such friction points.

Increase free trial to paid conversions

Conduct a path analysis to monitor the user paths taken right before converting. These are crucial paths as they have proven to be effective in winning customers over.

You can then replicate the paths for new users with similar JBTDs. To increase the free trial to paid conversion rate among these users, send them a contextual prompt to upgrade. Since the new users are already engaged and on the proven path, they are more likely to convert.

Identify happy paths to key actions

Before creating a happy path, first shortlist the key touchpoints and actions users take in your app. Next, find happy paths for each of these actions. Be on the lookout for any areas of friction because happy paths are meant to be error-free frictionless user experiences.

Complement the happy path by also offering proactive customer support with an in-app resource center for issues users commonly encounter.

This way, users will be able to troubleshoot independently and resolve problems quickly, resulting in a smoother experience.

Understand and prevent churn

To prevent churn, you first need to identify drop-off points in the customer journey. These are points where your customers disengage with your product or service and leave the funnel altogether.

Once you narrow in on these points, dig deeper into the reasons behind drop-offs by using tools such as feature tags or exit surveys. Based on these reasons, optimize the journey for current users to reduce churn.

For example, you may notice some users are dropping off right after signing in while other users who added contacts, created invoices, or started onboarding continue their paths.

Such insights suggest that these actions are crucial milestones in their journey. You can leverage this insight to refine your onboarding guidance and encourage more users to progress along their journey.

Understand active user behavior

Active users are some of your most loyal customers because they repeatedly engage with your product. So it’s important to study their behavior to understand how daily or weekly active users (DAU and WAU) are deriving value.

Do this by analyzing active user flows to understand what they do after logging in, and which actions bring them value. Then highlight these value-adding actions with your in-app flows to grow active users and product stickiness.

How to perform a user path analysis

While it may sound complicated, executing a user path analysis isn’t that difficult. And you don’t have to do it all yourself, you can rely on analytics tools to help you out.

Along with such tools, a good starting point is to study user paths across various segments and analyze behavior at regular intervals. This way, you will have plenty of data to draw comparisons and identify patterns from.

We discuss all these methods of performing a user path analysis and more in greater detail below.

Lean on an analytics tool

There are tons of analytics tools available that you can use to run your user path analysis easily. Such tools help analyze user behavior by enabling you to review multiple paths to each desired event.

Analytics tools also provide a wide array of complementary research features such as trend analysis reports and funnel analysis. Couple these features with data gathered from user paths, and you’ll be able to glean greater insights into user interactions.

Analyze different user segments

Different user journeys for each customer segment result in different user flows. So in your analysis, it wouldn’t make sense to jumble together all the varying user paths and user behavior.

Instead, conduct user path analysis by tracking user journeys for all the different customer segments to understand what motivates each user type. Once you know, you can use this information to offer more personalized and improved user experiences.

Monitor user behavior at regular intervals

User path analysis isn’t something you do once or twice and think all your UX problems have been resolved. To draw the maximum value, it’s good to track user behavior across paths at regular intervals, such as weekly, monthly, and quarterly.

This way, you will be able to compare improvements and continuously test and build on the customer experience. Moreover, regularly studying the paths users take ensures that any pressing pain points and bottlenecks are highlighted and dealt with sooner rather than later.

Pair your analysis with user feedback

User path analysis is great and helpful, but analysis alone can only take you so far. For effective results, it is necessary to incorporate user feedback in all your UX design decisions as well.

A great way of doing this is by comparing feedback with your user path analysis. This helps discover reasons behind happy and unhappy UX paths.

But for feedback to be useful, it’s also important to focus on how you’re collecting it. Feedback best practice dictates that you try including open-ended questions for more in-depth qualitative insights.