In-app feedback: how to get 10x more feedback from your users

Why in-app feedback

Most product teams work hard and ship a lot, and growth still does not follow. With a young product, every user counts, yet you hear from very few of them. Users hit a bug, get confused or miss a feature, and they leave instead of telling you. Interviews take more time than you have, and surveys come back with answers too short to act on. So the roadmap gets set by guesses, or by your loudest customer.

The teams that win know what their users need and why, all the time, without spending their days on research. Every release lands, because it answers something real. In-app feedback is the most direct way there: your users are already in your product, and they already have opinions. You only need to make it easy for them to tell you.

What in-app feedback is

In-app feedback means users share bugs, ideas and confusion from inside your product, at the moment they experience them. Instead of an email a week later or a survey about the last quarter, you hear about the checkout that failed while the user is still looking at the error.

That timing is the point. A user who reports a problem as it happens remembers what they tried, what they expected and what they saw. A week later, they remember that something was annoying.

When to ask: their moment, not yours

There are two ways to ask for feedback inside a product, and the difference is whose moment it is.

• Always there. A feedback button or link that users open on their own, for example in the help menu, the account menu or a corner of the screen. The user picks the moment, because they have something to tell you.
• Prompted. The product asks at a moment you choose, such as right after someone finishes a key task, the first time they use a new feature, or after their first week.

Both work, and many teams use both. Most of the value usually comes from the always-there button, though. It takes less time to set up, because you do not have to pick moments or audiences. It carries less risk, because it never interrupts someone in the middle of a task. And it gives you a continuous stream of feedback, not answers to one question at one moment. Add prompts when you have a specific question to ask.

The wrong way is to make users hunt for it. Many products hide feedback inside a support ticket system that users have to search for, sometimes through Google. Every step between the problem and the place to report it loses you users. If the feedback button is not visible from where the problem happens, most people will not go looking.

What good in-app feedback looks like

Good in-app feedback is easy to give, rich in detail, followed up, and easy to act on. Miss one of the four, and the feedback either never arrives or never changes anything.

1. It is easy to reach while the problem happens. One click from where the user is, opening inside the product, so they do not lose their place or their train of thought.
2. The answers are rich, not a few words. When users can talk out loud and share their screen, they show you what happened instead of summing it up. Spoken answers run about three times longer than typed ones: 44 words against 14 in a 2024 study with 1,001 people.
3. Someone asks the follow-up. The first answer is rarely enough. An AI can ask a follow-up about what the user just said, while they still remember. That turns “I wish I could export this” into what they want to do with the data, who it is for and how they work around it today.
4. It is easy to use afterwards. Feedback is transcribed, sorted into themes, with recordings you can watch and share. Feedback that sits unread in an inbox changes nothing.

The questions to ask

So which questions should you ask once someone opens your feedback button? Fewer than you might think: three are usually enough. The user came to tell you something, not to fill in a form, and every extra question is a chance for them to give up before they reach the part you care about. The three below come from our in-app feedback template, and each has a job: the first sorts the feedback, the second gets the story, and the third tells you how much it matters.

1. 1

   “What is your feedback about?”

   Offer five answers: I have an idea for you, a bug, something is missing, something is confusing, and praise. It takes one click, and it lets you sort the feedback later: bugs go to the developers today, ideas wait for planning.

   Multiple choice

2. 2

   “Please tell us more about it”

   This is where the value is. Let people share their screen and talk you through it, or answer by voice or text if they prefer. Add one AI follow-up that asks about what they said, and let them skip it.

   Screen share

3. 3

   “How important is this to your experience with us?”

   Very important, somewhat important, or a smaller detail. It separates the problem that makes someone consider leaving from the one they mention in passing.

   Multiple choice

Do not ask for what your product already knows. Who the user is, their plan, their company and the page they were on should come with the answer automatically, so nobody types their email into a feedback form while signed in.

What to do with the feedback

Once feedback starts coming in, the next question is what to do with it. Not all of it needs the same speed, so the first thing to look at is what kind of feedback it is.

Bugs are the one kind that cannot wait. A bug report that comes with a screen recording is about the best one your developers will get all week, because they can see exactly what the user did and where it broke. Send it to them the same day, while the user still remembers and before more people run into the same problem.

Ideas, confusion and missing features work differently. One request on its own tells you little, but twenty of them over a few weeks start to show a pattern. This is where your AI helps most. Ask it to group the answers by theme, count how often each theme comes up, and point out the ones users marked as very important. What used to take an afternoon with a spreadsheet now takes a few minutes.

A summary tells you what the problem is, but it rarely makes you feel it. For the few themes that matter most, watch the recordings behind them. Two minutes of a user stuck on a screen, explaining what they expected to happen, gives you a picture no summary can.

When you decide to act, bring that evidence to your team. Share the recordings and quotes behind the decision, so your colleagues understand why it matters as well as you do. It is much easier to build something well when you have heard the user ask for it in their own words.

How to run it in Feedbaq

Feedbaq is built for in-app feedback that tells you why, not only what.

• It lives inside your product. Add one script and put the study behind any button or link, such as your help or account menu. The panel opens on the page, so users show you the problem while it is in front of them.
• Users show you, not just tell you. On desktop they can record their screen while they talk. On phones and tablets they answer by voice or text.
• An AI can ask the follow-up. Add it to the questions where you want it, and it asks about what each person said, so you get the why behind the bug or the idea.
• Every answer says who sent it. Your product passes the user, their plan and account, and the page they were on. You can filter by them later.
• Your AI agent reads it all. Connect Claude, ChatGPT, Codex or Cursor to Feedbaq’s MCP server, and it can build the study, read every answer and find the themes for you. Every spoken answer is transcribed.
• Prompts are yours to place. Feedbaq does not decide when to interrupt your users. If you want to ask at a set moment, one line of code opens the study, and you can make sure it opens only once for each person.

Set it up this week

1. Start from the template. The in-app feedback template has the three questions, with screen, voice and text answers and a follow-up on the second.
2. Connect your product. In Settings, open Connect product and copy the script, or hand the instructions to your coding agent. The setup guide covers every step.
3. Put the study where problems happen. Add a “Send feedback” link where problems tend to happen, such as the help menu, the account menu or next to a complex feature. Keep it visible, so users can reach it in one click from wherever they are.
4. Read it every week. Fix the bugs as they come in, ask your agent for the themes, and watch the recordings behind the top ones.

Building and previewing the study is free, so you can try the whole flow in your own product before a single user sees it.

Questions people ask