Definition

Feature request discovery: definition and examples

Feature request discovery is the process of finding repeated user requests and pain points before deciding what to build.

npx -y @resciencelab/requesthunt-mcp-server
Short answer

Feature request discovery is the process of finding repeated user requests, complaints, workarounds, and product gaps before deciding what to build.

Feature request discovery helps a founder move from guessing to pattern-finding. Instead of starting with an idea, you look for repeated evidence that people want a workflow to be easier, cheaper, faster, or more complete.

What counts as a signal

Useful signals include explicit feature requests, repeated complaints, manual workarounds, missing integration requests, and comparisons where users explain why a current tool does not fit.

One comment is not enough. The most useful discovery work groups multiple examples into a clear job-to-be-done.

Example

If several users in a community ask for a way to export reports, complain about manual copy-paste, and share brittle workarounds, the signal may be an export or publishing workflow rather than a single requested button.

RequestHunt focuses on this kind of product opportunity research across public communities.

Next step

Discover real feature requests from Reddit, X, and GitHub.

Try RequestHunt