Planned

Voice

User Feedback

Give Claude ears for user feedback. AI collects, categorizes, and surfaces what users really want—automatically.

Before

How Claude sees your app today

C
Claude
Y

You

What are users asking for most? I need to prioritize our roadmap.

C

I don't have access to user feedback—no visibility into feature requests, surveys, or NPS scores.

Could you export your feedback from Canny or share survey results?

After

How Claude sees your app with Voice

C
Claude
Voice connected
Y

You

What are users asking for most? I need to prioritize our roadmap.

C

Using voice.top_requests

voice.top_requests(limit: 5, period: "30d")

Top Feature Requests (30 days)

1. Dark mode — 47 requests (23 enterprise)

2. API webhooks — 31 requests

3. Team permissions — 28 requests

4. Mobile app — 19 requests

5. CSV export — 15 requests

Recommendation: Dark mode has highest demand and 50% of requests are from enterprise customers (high revenue impact).

The Tools AI Uses

Available via MCP (Model Context Protocol)

voice.top_requests()

"What do users want most?"

voice.get_nps()

"What's our NPS score?"

voice.categorize_feedback()

"Group similar feedback"

voice.sentiment_trend()

"How is sentiment changing?"

Coming Soon

We're building Voice as part of Phase 2. Follow along to get early access.