dragoon0x/everything-design-taste

feedback-rating

User feedback collection, rating systems, surveys, NPS, and feedback response design.

First seen Jun 17, 2026

Installation

$ npx skills add dragoon0x/everything-design-taste --skill feedback-rating

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from dragoon0x/everything-design-taste · top by installs.

npx skills add dragoon0x/everything-design-taste

Browse all from dragoon0x/everything-design-taste

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 11
License LICENSE
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,302 B
  • docs SUMMARY.md 108 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 3 installs

SKILL.md

Feedback & Rating Patterns

In-App Feedback

  • Timing: After a completed task, not during
  • Format: Simple scale (1-5 or thumbs up/down) + optional text
  • Frequency: Don't ask more than once per session / once per week
  • Dismissable: Always allow skipping without penalty

NPS (Net Promoter Score)

  • Single question: "How likely are you to recommend [product] to a colleague?"
  • Scale: 0-10
  • Follow-up: "What's the main reason for your score?" (open text)
  • Don't ask on first visit or during onboarding
  • Quarterly or after key milestones

Review Display

  • Show average rating and total count
  • Distribution bar chart (how many 5-star, 4-star, etc.)
  • Most helpful reviews first, not most recent
  • Filter by rating, sort by recency or helpfulness
  • Show verified purchase/user badges
  • Allow marking reviews as helpful

Feedback Forms

  • Keep it short (3-5 questions max)
  • Mix closed (scale, multiple choice) and open (text) questions
  • Show progress if multi-step
  • Thank the user meaningfully after submission
  • Actually follow up on feedback (close the loop)