← Use cases

Bug reports with reproduction steps. From users who've never heard of reproduction steps.

User reports: "it's broken." You ask: "what did you do?" They say: "I clicked the thing." You spend 30 minutes trying to reproduce something you can't identify. Meanwhile, the user thinks you're ignoring them.

Real response comparison
Without AI

"The app is broken." (That's the entire report. No steps, no context, no browser.)

~5 min
With Pluck + AI

A structured report with steps to reproduce, browser/device info, and expected vs. actual behavior — from a user who's never filed a bug report before.

~10 sec

How AI changes this

Pluck's probes walk the user through a structured report: "What page were you on?" "What did you click?" "What happened vs. what you expected?" If the user's AI has access to their browser context, it can fill in device, OS, and reproduction steps automatically. Your engineering team gets a report they can act on without a back-and-forth.

How it works
1You create the form — add fields and follow-up probesyou
2Share the URL — drop it in Slack, email, or a docyou
3Respondent opens it in browser OR hands it to their AIthem
4Probes nudge shallow answers deeper — "can you be specific?"them
5Or their AI pre-fills from context (tickets, docs, conversations)AI
6You get specific, actionable responses in your dashboardyou

Example fields

  • What happened?
  • What did you expect?
  • Steps to reproduce
  • Browser / device
  • Screenshot or URL
  • Severity (annoying / blocking / data loss)

Follow-up probes

When an answer is too short, Pluck nudges the respondent to go deeper.

What happened?
What page were you on?
Did you see an error message?
Steps to reproduce
What did you click right before it broke?
Does it happen every time or just sometimes?

Who this is for

Product teams, support teams, open-source maintainers — anyone who triages bug reports from non-technical users.

Try Pluck for bug reports

Free to start. Create your first form in 2 minutes.