Feature Request: Structured feedback channel from sessions to engineering

Feature Request: Structured Feedback Channel from Sessions to Anthropic Engineering

Summary

Claude has no mechanism to pass insights, recurring pain points, or feature suggestions from live sessions back to Anthropic's product and engineering teams. Every session independently discovers the same platform limitations, develops the same workarounds, and then forgets everything when the session ends. Millions of sessions worth of institutional knowledge evaporates daily.

Problem

Claude is in a unique position — it operates the platform's tools, encounters their limitations firsthand, and engages in detailed problem-solving with users who are pushing the boundaries of what the platform can do. But there is no structured feedback path from this experience back to the teams building the platform.

The current feedback mechanisms are:

• Thumbs up/down — blunt signal, no nuance, no feature context
• GitHub issues — requires the user to file manually, which means most insights never make it out of the session
• Discord/support channels — same manual burden, different venue

What's missing is a way for Claude itself, with user consent, to surface specific, actionable observations. Not vague sentiment — structured reports like "User attempted hierarchical skill resolution, no platform support exists, workaround was symlinks, user expressed this as a gap" with the technical context to make it actionable.

Proposed Behavior

An opt-in mechanism where, at the end of a session (or on demand), Claude can compile a structured feedback report and submit it with user approval. The report would include:

• The specific gap or friction encountered — described in technical terms
• What the user was trying to accomplish — the use case
• What workaround was used, if any — showing the current cost of the gap
• Suggested improvement — Claude's assessment of what would fix it
• User consent flag — nothing submitted without explicit user approval in the chat

This is not about collecting conversation data. It's about Claude acting as a field engineer who writes trip reports — structured, actionable observations from the front lines, submitted through a proper channel with the user's knowledge and consent.

Why This Matters

The feedback loop between users and platform developers currently has a massive impedance mismatch. Users experience friction but may not have the context to articulate it as an engineering requirement. Claude has both the user context and the platform context to bridge that gap — but currently has no channel to do so.

The users who would benefit most from platform improvements — power users running complex multi-machine, multi-project workflows — are also the least likely to stop their work to file a GitHub issue. Meeting them where they are (in the session, with Claude doing the heavy lifting of articulating the feedback) would dramatically increase the signal Anthropic receives from its most demanding users.

Impact

This would close the feedback loop between Claude's operational experience and Anthropic's engineering priorities. Every session becomes a potential source of product intelligence, with user consent and structured reporting replacing the current model of silent knowledge loss.