Interview users and ship what they want x10 faster

AI conducts user interviews, extracts insights, bugs, and potential features, and implements them. Teams keep control with scoring, triage, and approval before execution.

Problem

Great product ideas die in the backlog

Most teams collect user feedback, but translating it into prioritized and shipped product changes is still painfully manual.

01

Engineering bottlenecks

Customer requests pile up while product and GTM teams wait on dev bandwidth.

02

Slow feedback loops

Interviews happen, but insights are scattered and hard to turn into clear next actions.

03

Prioritization fatigue

Teams struggle to rank bugs vs. features consistently with confidence and business impact.

01 · Voice Agent

AI conducts user interviews

Our AI interviewer greets customers, asks smart follow-ups, and runs high-quality interviews end-to-end without your team joining each call.

02 · Insights

Extract insights, bugs, and feature opportunities

Every interview is transcribed and summarized automatically. Product signals are turned into actionable fixes with confidence scoring and clear upside/downside tradeoffs.

03 · Suggested Fixes

Rank and review what to build next

See suggested fixes with confidence, impact, and tradeoffs in one view so product owners can decide what should run automatically and what needs human review.

04 · Coding Agents

Implement changes with Codex

Once approved, Product Feedback routes work to your coding agent setup so fixes and features ship faster through automated PR creation.

Powered byCodex
05 · Questionnaires

Automatically create questionnaires

Drop in your product context and let the agent craft research-backed questionnaires in seconds. Tweak questions, reorder sections, and ship to your users instantly.

06 · Share

Share once, collect feedback everywhere

Generate a single interview link and distribute it to users or teammates. Responses roll into one workspace with timestamps, metadata, and participant profiles.

FAQ

Frequently asked questions

How does Product Feedback work end-to-end?

It runs AI interviews, extracts bugs and feature opportunities, scores feasibility, and can auto-route high-confidence items into coding agents that open PRs.

Do we keep control before code is shipped?

Yes. You can triage, review confidence and tradeoffs, run items manually, or let only high-confidence items auto-forward.

Can we use Codex?

Yes. Projects can be configured to route approved items to Codex so fixes and features ship through automated PRs.

What kind of feedback can this handle?

Voice interviews, bug reports, and feature requests. Everything is centralized with transcript context and actionability scoring.

10x your product development velocity

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