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Glossary
Customer feedback

What is In-App Feedback?

In-app feedback is a method of gathering qualitative and quantitative data from users while they are actively using a product. It typically involves using widgets, pop-ups, or embedded forms to capture thoughts, bug reports, or satisfaction scores without forcing the user to leave the application.

When to use it

Teams should use in-app feedback to capture context-specific insights at the moment of interaction, such as immediately after a user completes a new workflow. It solves the problem of low response rates in email surveys by reaching users when the experience is fresh in their minds. This approach helps identify friction points and validates feature usability in real-time.

Example

A SaaS team prioritizing 4 features for Q3 implements a slide-out widget to capture in-app feedback on a newly released dashboard module. Over two weeks, they collect 150 responses from active users, discovering that 45% of users find the 'Export' button difficult to locate. By tagging these responses as 'UI Friction,' the product manager can quickly adjust the roadmap to include a button redesign in the next sprint. This targeted data allows the team to fix the issue before it leads to a drop in feature adoption.

How Planet Roadmap helps with In-App Feedback

Planet Roadmap provides a feedback portal and voting system that can be linked to in-app triggers, allowing users to submit and vote on requests without leaving your product. These insights flow directly into a Kanban board where teams can triage and prioritize them against the product strategy.

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FAQ

How is in-app feedback different from email surveys?
In-app feedback captures user sentiment in real-time during a specific task, leading to higher response rates and more accurate context. Email surveys are better for longitudinal studies or reaching inactive users but often suffer from recall bias and lower engagement.
Should in-app feedback be used for all types of user research?
No, in-app feedback is best for tactical insights like bug reporting, UX friction, or feature validation. For strategic research like long-term vision or competitive analysis, more in-depth methods like user interviews are more effective.

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