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Beginners Guide to Continuous User Research w/ Examples 

Beginners Guide to Continuous User Research w/ Examples 
Disha Mod
•  24.03.2025

Key takeaways

💡 Continuous research provides ongoing user insights, unlike traditional phased approaches.

📊 Use surveys, social media, in-app tools, usability tests, and analytics to gather real-time data.

💬 Share findings across teams to drive better decisions and improvements.

🔧 Constantly refine experiences using real feedback to prevent issues from escalating.

🔍 Integrate research into decision-making to enhance product success.

🐝 Use real-time tools like UXtweak to streamline and scale continuous research. Try it for free today!

Ever launched a feature only to realize users aren’t engaging with it the way you expected? Or spent weeks building something that didn’t quite solve the problem? 

These issues often come from gaps in user research, especially when it’s done only at the start of a project. 

Continuous user research helps you stay in tune with what users actually need, so you’re not making decisions based on old insights. 

In this guide, we’ll break down how to make user research an ongoing process (without it feeling overwhelming) and share examples of teams doing it right. 

What is continuous user research? 

Continuous user research is like keeping an open conversation with your users instead of just checking in once in a while.

It’s not a one-time survey before launch, but an ongoing process of listening, observing, and improving based on real user behavior.

You track how users interact with your product, identify pain points, and adapt as their needs evolve.

Whether through usability testing, surveys, or behavior analytics, you’re constantly learning what works and what doesn’t.

The result? A product that doesn’t just meet expectations once but keeps getting better over time.

💡 Pro Tip

Explore more about UX research in UXtweak’s UX Research guide.

Examples of continuous research

Here are some examples of brands you love that adapt continuous research in their process: 

📌 Airbnb

Airbnb constantly gathers user feedback to refine its platform. They use in-app surveys, A/B testing, and direct conversations with hosts and guests to understand pain points.

For example, when users struggled with unclear pricing, Airbnb tested ways to make costs more transparent. 

📌 Spotify

Spotify doesn’t just rely on user interviews; they analyze listening patterns, feature adoption, and user behavior to refine their product. 

When they noticed users skipping songs frequently, they dug deeper through surveys and found that playlist recommendations weren’t personalized enough. This led to better algorithms and features like “Discover Weekly.”

📌 Figma

Figma actively listens to its design community through social media, forums, and beta testing programs. They use this feedback to shape updates and new features.

For example, their multiplayer collaboration features evolved based on how teams actually used Figma in real time. 

Continuous research VS traditional UX research 

UX research isn’t just about creating beautifully polished reports; it’s about understanding users and making better decisions.

As David Travis puts it:

“It’s the process of UX research that matters, not the beauty of the final artifact.”

David Travis

Managing Director of Userfocus

But how you approach that process makes all the difference. Traditional UX research helps answer big questions at key moments, while continuous research keeps user insights flowing, so you’re always learning and improving. 

Let’s dive into the key differences to make the right choice. 

Understanding traditional user research 

Traditional UX research is usually conducted at specific stages of a project. For instance, before a redesign, during a major update, or at the start of development.

It helps teams gather deep insights but often happens in isolated cycles. This means that decisions are based on past research rather than real-time user behavior.

Main differences 

Here are some major points of difference between Traditional and Continuous UX Research: 

Aspect

Traditional UX Research

Continuous UX Research

Timing

Done at specific project phases (e.g., before launch)

Ongoing, integrated into daily workflows

Goal

Answer key questions before product changes

Continuously refine and improve the product

Data Collection

User interviews, surveys, usability testing (one-time)

A mix of real-time analytics, feedback loops, and ongoing studies

Decision-Making

Based on periodic insights

Based on evolving user behavior and needs

Examples

Large research studies before a redesign

Regular user testing, feature experiments, A/B testing

Why continuous research is vital 

Ever wondered why companies are investing so much in ongoing user research? It’s because user expectations shift fast. What worked yesterday might not work tomorrow. 

As Jan Chipchase puts it:

“Design is not static, it’s a constantly moving target.”

Jan Chipchase

Director

That’s exactly why continuous research matters, as it helps you keep up with that moving target. 

You catch problems before they cost you

You may think about launching a new feature, only to find out later that users hate it. Maybe they’re confused by the navigation, or a crucial button is too hard to find. 

And by the time the negative feedback rolls in, you’ve already lost potential customers.

Continuous research helps you spot these usability issues before they become costly mistakes. Regular usability testing, session recordings, and real-time feedback loops let you catch problems early.

At this point, they are easier (and cheaper) to fix. Instead of reacting to disasters, you can proactively improve your product to ensure it’s intuitive and frustration-free.

You keep up with changing user needs

User expectations aren’t set in stone. Trends shift, new technologies emerge, and what people found convenient last year might feel outdated today. 

If you’re not constantly checking in with users, you risk falling behind.

For example, mobile-first design wasn’t a priority a decade ago, but now, it’s non-negotiable. Businesses that failed to adapt lost ground to competitors who paid attention.

You build products users actually love

Great products aren’t built in isolation. They evolve based on real user insights. When you integrate continuous research into your process, you make data-backed decisions that improve user experience

Take Slack, for example. The team didn’t just launch the app and call it a day. They continuously monitored user behavior, gathered feedback, and refined the platform to better fit how teams actually communicate. 

At the end of the day, continuous research isn’t just about fixing problems; it’s about building something people love to use.

How to do continuous user research 

cognitive walkthrough

Keeping user research ongoing doesn’t have to be overwhelming. The key is to build it into your workflow so insights are always flowing. 

Here are five steps to make continuous research a habit:

📍Step 1: Set up feedback channels 

The best way to understand your users is to hear from them directly. Setting up multiple feedback channels like in-app surveys, live chat, or social media monitoring allows you to collect real-time insights. 

Take Duolingo, for example. They collect user feedback directly from app interactions, tracking where users drop off in lessons and using that data to adjust difficulty levels.

This ensures a smoother learning experience while keeping users engaged.

💡 Pro Tip

Don’t just rely on surveys. Use heatmaps, session recordings, and community forums to gather unfiltered insights from users who might not actively submit feedback.

📍Step 2: Conduct regular user testing

Instead of running usability tests once or twice a year, successful teams conduct smaller, frequent tests to catch issues early. Testing often prevents design problems from piling up and ensures that new features are intuitive.

For example, Notion regularly tests product updates with real users before rolling them out widely. Observing how users interact with new features in beta, help them make refinements before a full launch. 

💡 Pro Tip

Keep testing lightweight. Even informal 15-minute user interviews or remote usability tests can reveal major usability issues before they become bigger problems.

📍Step 3: Analyze behaviour data continuously 

Numbers tell a story. By tracking key metrics like user engagement, bounce rates, and feature adoption, you can spot patterns and optimize your product accordingly.

Consider Instagram, their algorithm is a masterclass in behavioral analysis. Continuously analyzing watch time, skips, and replays helps them refine content recommendations in real time, keeping users hooked for longer.

Remember not to look just at broad metrics. Dig into micro-interactions where users hesitate, where they click but don’t convert, or where they rage-click as these moments often highlight deeper UX issues.

📍Step 4: Involve the whole team

User research isn’t just for UX designers. It should be a shared responsibility across product, engineering, and marketing teams.

When everyone has access to user insights, they can make more informed decisions. Here’s a quick checklist to follow: 

  • Use Notion, Confluence, or a Slack channel (#user-insights) to share quick summaries of research findings
  • Schedule a 30-minute meeting every 2-4 weeks where UX, product, engineering, and marketing teams review key insights and action item
  • Have engineers, PMs, and marketers join usability tests, customer support calls, or feedback analysis sessions.
  • Instead of long reports, share insights in bullet points with clear next steps and impact levels
  • Assign different team members (beyond UX researchers) to summarize and present findings in meetings
  • Promote a habit where anyone can ask, “What do our users say about this?” before making key decisions

Did you know? 🤔

Keeping research flowing doesn’t have to be a hassle. One Redditor shared that bulk-buying research credits and using unmoderated testing tools made it way easier to run studies without waiting on approvals.

Turns out, when research is always available, teams actually use it; leading to better decisions and fewer last-minute scrambles. Smart move, right? See the discussion here!

📍Step 5: Iterate and improve

Research is only useful if it leads to action. Prioritizing feedback and making incremental improvements ensures your product evolves with user needs rather than falling behind.

For example, Google Search is constantly refined based on user behavior.

They analyze search queries, click patterns, and feedback on search results to tweak algorithms and improve relevance (often deploying thousands of updates per year). 

💡 Pro Tip

Not all feedback needs immediate action. Use a simple prioritization framework (e.g., impact vs. effort) to decide what changes will deliver the most value with minimal disruption.

Main UX research methods in continuous user research

Great products don’t happen by accident; they evolve. Continuous research keeps you in tune with users, helping you refine and improve over time. 

After all:

“Discovery isn’t a one-time activity. A digital product is never done.” 

Teresa Torres

Product Discovery Coach

Let’s dive into the key research methods that make this possible!

Usability testing 

Ever watched someone struggle with a feature you thought was foolproof? That’s usability testing in action. It involves observing real users as they navigate your product, helping you spot friction points and confusing elements.

📌 Example: E-commerce sites like Amazon rigorously test their checkout process to ensure it’s seamless. If testers hesitate, abandon their carts, or take too long to complete a purchase, it’s a clear sign that something needs improvement.

Since “it takes about 50 milliseconds (0.05 seconds) for users to form an opinion on your website,” even the smallest friction points can make users leave before they ever convert.

One notable point is to test with both new and experienced users. New users reveal onboarding issues, while experienced ones highlight long-term frustrations.

🔽 Try it yourself with UXtweak’s usability testing demos!

Try Prototype Usability Testing✅

Prototype Testing
Try Prototype Usability Testing✅

Try Website Usability Testing🔥

Website Testing
Try Website Usability Testing🔥

A/B testing 

Why guess when you can test? A/B testing lets you compare two versions of a page, button, or feature to see which one performs better. 

You show Version A to one group and Version B to another, then analyze the results.

📌 Example: Food delivery apps like DoorDash test different versions of their restaurant listing pages. In one version, they highlight estimated delivery times, while another focuses on customer ratings.
The goal? To see which detail helps users decide faster. Since “70% of Gen Z users want websites to intuitively know what they want,” A/B testing ensures that the most relevant information is shown upfront, making the decision-making process smoother

Remember that these tests work best with a large enough sample size. Otherwise, minor variations in behavior might lead to misleading conclusions.

💡 Pro Tip

Thinking about A/B Testing your prototypes? Here’s a guide that will help!

Ongoing user interviews

Users need change, and the best way to keep up is to talk to them regularly. Ongoing user interviews provide direct insights into their evolving challenges, expectations, and experiences.

📌 Example: Slack frequently interviews businesses of all sizes to understand how teams communicate. These conversations have influenced features like huddles, message threading, and app integrations.

The key to getting useful insights is to avoid leading questions. Rather than asking, “Do you find this feature helpful?” it’s better to say, “Can you walk me through how you use this feature?”

💡 Pro Tip

If writer’s block is hitting hard when drafting interview questions, you don’t have to start from scratch. Here are 5 user interview script templates that will help you cover everything without overcomplicating it.

Want to include user interviews in your UX research?

Try UXtweak’s Live Interviews!

Seamlessly schedule, recruit, conduct, and analyze your all user interviews. 

⬇️ Learn more about the feature and be the first to try it!

 

Feedback forms and surveys 

Sometimes, the simplest way to understand user pain points is to ask. Feedback forms and surveys help collect direct opinions, whether through quick pop-ups, email surveys, or in-app feedback.

📌 Example: Airbnb asks guests and hosts for feedback after every stay. If multiple users report issues with cancellations or booking filters, Airbnb refines its system accordingly.

But for surveys to be effective, they need to be short. If they take longer than two minutes to complete, most users will abandon them.

💡 Pro Tip

Check out the definitive guide to creating effective survey to learn more.

Diary studies 

Not all user insights come from one-time interactions. Diary studies let you track user behavior over days or weeks, revealing patterns and recurring issues that traditional testing might miss.

📌 Example: Fitbit conducted diary studies to understand how people form exercise habits. Participants logged their workouts, sleep patterns, and motivation levels over time, leading Fitbit to design better fitness reminders and goal-setting features.

To get useful data, provide users with clear instructions on what to document. If not, the results can be scattered and difficult to analyze. 

Heatmaps and session recordings 

Users often say one thing but do another. Heatmaps and session recordings provide a real-world look at how they interact with your site or app by tracking where they click, scroll, or drop off.

📌 Example: Amazon relies on heatmaps to see if customers ignore important product details. If a crucial section doesn’t get enough attention, they tweak the design to make it more noticeable.

Heatmaps alone, though, don’t tell the full story. Make sure you combine them with session recordings to reveal why users are struggling in specific areas.

Going from traditional to continuous UX research

Shifting from traditional UX research to a continuous approach takes more than just good intentions as you need buy-in, the right mindset, and the right tools. 

Here’s how to make it happen: 

Convincing stakeholders 

Stakeholders care about numbers, so frame continuous research as a way to reduce risk and increase ROI. Traditional research often results in big, expensive redesigns, while ongoing research helps catch issues early (before they become costly). 

Share real-world examples where continuous insights led to faster improvements. 

💡 Pro Tip

Run a small pilot study and present the impact. For example, show how tweaking a single form field (based on real user feedback) improved conversion rates. Hard data is hard to ignore!

📌 Want expert insights? Teresa Torres, a leading voice in product discovery, explains why continuous research is essential for building products that truly meet user needs. Listen to her take on Continuous Discovery.

Promoting the culture of user-centricity 

A one-off research report won’t change how teams work. User insights need to be part of everyday conversations.

Make research findings easy to digest and accessible to everyone, from product managers to developers. 

Regularly share key takeaways in Slack, Notion, or quick team syncs to keep users at the center of decisions.

💡 Pro Tip

Start a “User Insight of the Week” initiative where one key learning is shared with the team every Monday. Small but frequent updates keep user needs top of mind.

Using real-time data collection tools 

Waiting months for research results is a thing of the past. Tools like Hotjar, FullStory, and UXtweak let you collect real-time user data through heatmaps, session recordings, and quick surveys. 

This means you can spot friction points as they happen and act fast.

💡 Pro Tip

Set up one real-time feedback tool today; whether it’s a post-purchase survey or a heatmap on your most important page. Start small, iterate fast!

Continuous research VS continuous discovery 

Both continuous research and continuous discovery are essential for building user-centric products, but they focus on different aspects of the process. Here’s how they compare:

Aspect

Continuous Research

Continuous Discovery

Purpose

Gathers ongoing insights about user behavior, needs, and pain points.

Applies insights to shape and refine product decisions continuously.

Focus

Understanding users through data collection (usability tests, surveys, analytics).

Validating ideas, testing solutions, and iterating before committing to development.

Example

Analyzing heatmaps and session recordings to spot friction points in the checkout process.

Running weekly customer interviews to explore pain points and prioritize new features.

Outcome

Provides a steady stream of user insights to improve UX.

Ensures product decisions are user-driven and based on real needs.

📌 Want to see continuous discovery in action?

Aiden Hirshfield shares real-world strategies for embedding continuous research into product development. Listen to the podcast now!

Learn more about continuous UX research 

Wrapping up

User expectations change fast and if you’re relying on outdated research, you’re already behind. 

One-time studies can’t keep up with evolving user needs, leaving you to guess what’s broken, why users drop off, or which features actually matter. That’s where UXtweak comes in.

With powerful tools for usability testing, A/B testing, session recording, and real-time feedback, you get fresh, actionable insights anytime (not just when a project demands it).

Spot friction points as they happen, validate ideas before costly launches and continuously refine the experience so users never hit a dead end.

Stop making assumptions and start making data-driven decisions — Sign Up for free Today! 🐝

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FAQ: Continuous user research

What is continuous discovery research?

It’s an ongoing process of testing ideas and gathering user insights to shape product decisions. Notion, for example, frequently interviews users to refine features before launch.

What is discrete vs. continuous research?

Discrete research happens at specific points (like pre-launch surveys), while continuous research is ongoing (like real-time user feedback) to keep insights fresh and relevant.

What is an example of continuous research?

An example of continuous research is Netflix. It regularly tracks user behavior, like watch history and search patterns, to refine recommendations and improve content.

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