Results for “feedback”

Collecting and synthesizing user feedback across channels (support tickets, NPS, in-app feedback, sales calls, social mentions, customer councils) into a continuous signal that informs product decisions. The triage discipline that distinguishes loudest-voice (whoever complains most wins) from averaged-noise (every signal weighted equally) from triaged-synthesis (signal weighted by source quality, frequency, and decision relevance). Triggers on user feedback, customer feedback aggregation, NPS, support ticket analysis, customer councils, feedback synthesis, voice of customer, feedback triage, in-app feedback. Also triggers when feedback channels overflow with volume that does not produce decisions, when the loudest-voice problem is steering roadmap, or when continuous feedback streams need synthesis discipline.

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Create a feedback form in Google Forms, retrieve its respondent link, and send that link through Gmail. The workflow connects form creation with an email invitation asking recipients to share feedback.

• Create a form for event feedback
• Retrieve the form's respondent link
• Email participants a feedback request

[omh] Unsorted customer feedback and bug reports: cluster customer signals and choose the next workflow. Use when the user says: feedback-triage, customer-feedback-triage, feedback triage, customer feedback, feedback cluster, bug or feature, feature request triage, payment failure feedback.

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Design a 360-degree feedback survey or write a structured 360 feedback report. Use when asked to build a 360 feedback process, write 360 feedback for a colleague, design a feedback survey, or produce a feedback report. Produces either a complete survey instrument with rating scales and open-ended questions, or a structured narrative feedback report with themes, strengths, and development areas.

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Establish channels and processes for capturing and processing post-launch feedback during PRD v0.9 Go-to-Market. Triggers on requests to set up feedback systems, capture user input, or when user asks "how do we collect feedback?", "feedback loop", "user research", "post-launch feedback", "customer feedback", "NPS", "voice of customer". Outputs CFD- entries specialized for post-launch feedback capture.

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Plan a 360-degree or peer feedback process and create empty response templates from confirmed requirements. Produces consistent CSV, SQL, JSON Schema, or Notion property mappings while keeping visibility choices and scoring configuration separate.

• Plan an anonymous peer feedback process
• Create a CSV template for feedback responses
• Align feedback fields across SQL and JSON Schema

Address existing feedback on a GitHub pull request, a proposed code change. Evaluate comments against the code, apply valid fixes, and verify replies and thread resolution, with options for local handoff or resuming saved work.

• Addressing feedback across a pull request
• Handling a specific review thread
• Preparing local fixes for someone else to publish

Submit feedback about the TRES Claude plugin — bug reports, feature requests, skill improvements, new skill ideas, MCP issues, workflow friction, or positive feedback about what's working well. Use this skill whenever the user wants to share any kind of feedback about the plugin, its skills, or the TRES MCP. Trigger phrases include: "submit feedback", "report a bug", "request a feature", "suggest an improvement", "I have an idea", "something is broken", "the skill isn't working", "I love this skill", "this worked great", "the MCP is returning wrong data", "the flow is confusing", "can you fix the skill", "file a skill request", "give feedback", "this could be better". Also trigger proactively when the conversation appears to be wrapping up — e.g. the user says "thanks", "that's all", "looks good", "we're done", "nothing else", or any other signal that the task is complete. In that case, offer a brief feedback prompt instead of launching the full guided flow. Do NOT trigger for general questions about how a skill works — only when the user wants to submit feedback or the conversation is ending.

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This skill should be used when the user asks to "process beta reader feedback", "alpha reader feedback", "feedback round", "synthesize reader feedback", "reader notes", "beta feedback", "reader readiness check", "review copy", "send the draft to readers", "share with readers who don't use GitHub", "triage the reader panel", or wants to collect, reconcile, and act on external reader feedback for a story project. NOT for running the simulated reader panel itself (use reader-panel), rounds with a professional editor (use editorial-review), or for checking a manuscript is ready to query or publish (use submission or publishing).

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Personal App-in-Skill voice-of-customer desk (Busabase App-in-Skill) aggregating user feedback from support email, Discord/Slack communities, X replies, app-store reviews, surveys, and interviews into clustered feature requests and a roadmap decision queue. Use when the user invokes $kelly-feedback or /kelly-feedback, or mentions user feedback, voice of customer, feature requests, roadmap decisions, feedback clustering, feedback triage, request dedupe, changelog replies, decline replies, or reviewing what users are asking for.

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実装完了後、学んだことをDESIGN.mdに蓄積。スキル/ルールの自己改善を提案。 ストーリー駆動開発の終点。 「フィードバック」「/dev:feedback」で起動。 Trigger: フィードバック, 学習事項蓄積, /dev:feedback, feedback, design update

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Prepare and privately submit feedback to the Muse team after user approval. It covers missing connections, feature requests, recurring failures, and praise, and helps users view or withdraw reports they have already filed.

• Request a connection to an unsupported service
• Report a recurring failure
• View or withdraw previous feedback

Prepare and submit Superset bug reports, feature requests, or general feedback. It checks documentation first, organizes relevant details into a concise draft, and lets the user choose private submission or a public GitHub issue before sending.

• Report a Superset bug with reproduction steps
• Explain a feature request and its purpose
• Send private feedback to the Superset team

Audit and redesign AI-generated feedback for pedagogical quality, timing, and learning impact. Use when building or reviewing automated feedback in digital learning tools.

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Address PR reviewer feedback by evaluating comments, proposing fixes, and executing after user approval. Use when the user wants to handle review comments on an existing PR, address PR feedback, fix PR comments, respond to reviewer suggestions, or process code review feedback. Triggers on "address PR feedback", "handle review comments", "fix PR comments", "respond to PR review", "process reviewer feedback", or when given a PR number/URL with intent to address its comments.

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Audit and redesign AI-generated feedback for pedagogical quality, timing, and learning impact. Use when building or reviewing automated feedback in digital learning tools.

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Feedback synthesis — cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise, and produce an actionable insight report. Use when asked to "synthesize this feedback", "analyze support tickets", "what are users complaining about", "NPS analysis", "churn feedback synthesis", or "what's the feedback telling us".

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Synthesizes actionable feedback from validation results, confidence scores, and iteration triggers. Creates structured improvement guidance for re-execution. Activate on 'synthesize feedback', 'improvement suggestions', 'actionable feedback', 'iteration guidance', 'feedback generation'. NOT for iteration detection (use dag-iteration-detector) or convergence tracking (use dag-convergence-monitor).

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Synthesizes evidence-linked feedback from validation results, confidence evidence, and iteration triggers. Proposes bounded revision guidance for a stated acceptance failure. Activate on 'synthesize feedback', 'improvement suggestions', 'actionable feedback', 'iteration guidance', 'feedback generation'. NOT for iteration detection (use dag-iteration-detector) or convergence tracking (use dag-convergence-monitor).

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Monitor a GitHub pull request for review feedback, automated check failures, and merge readiness. Diagnose failures, fix problems caused by the branch, and retry likely temporary failures while continuing to watch for updates.

• Monitor automated checks after opening a pull request
• Address actionable review feedback
• Distinguish code failures from temporary service problems

Draft self-assessments, peer reviews, and feedback for managers using concrete examples of work and collaboration. Organizes achievements around context, actions, and results, matches your writing voice, and flags sections that need more evidence or detail.

• Prepare an annual or mid-year self-assessment
• Draft a peer review with specific examples
• Write constructive feedback for a manager

Collect new feedback from configured Slack and GitHub Issues sources, acknowledge receipt, analyze recordings, and verify claimed fixes against the default branch. Combine unresolved items into a rolling plan ready for the lfg workflow.

• Collecting feedback from Slack and GitHub Issues
• Analyzing recordings attached to feedback
• Verifying that reported fixes were merged

Prepare honest refusals and feedback by separating facts from personal preferences. Review gaps between what you think and say, make praise specific, and direct criticism toward actions or practices while respecting privacy and confidentiality.

• Giving a colleague feedback focused on their actions
• Declining a request without inventing an excuse
• Making praise specific and concrete

Implement reviewer feedback on a Canva design. Reads all comment threads, synthesises what reviewers want, makes the clear-cut changes directly, and flags anything that needs a human decision. Use when the user asks to "implement feedback on my deck", "address comments on a design", "apply review feedback", "fix the comments on my presentation", or "implement the feedback".

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