Turn messy user research notes, interviews, support tickets, surveys, and product context into an evidence-backed decision room: a single HTML artifact with an
复制下面这句话,粘贴给 Claude Code、Codex、Cursor 等 AI 编程工具,它会读取安装说明并在你确认后完成安装。
请阅读 https://ai.atlankj.com/install/asset/gh-research-decision-room-2051501e318f ,按照其中的说明把「research-decision-room」安装到你(当前 AI 工具)中。执行前先告诉我将运行的命令和写入的位置,等我确认。
查看 AI 将读取的安装说明正在读取 GitHub 原文…
内容来自 GitHub 原始文件,由原作者维护。在 GitHub 查看
Create a single-page HTML decision artifact that helps a product or design team turn messy evidence into a clear next move. The output is not a decorative research deck. It is a working room for debate: evidence, themes, confidence, tradeoffs, and recommended experiments stay visible together.
research-decision-room/
├── SKILL.md
├── example.html
└── references/
├── checklist.md
└── evidence-model.md
Read references/evidence-model.md before synthesis and run
references/checklist.md before emitting the artifact.
Use this skill when the user has any mix of:
Do not use it for pure visual inspiration, campaign ideation, or brand moodboards.
Identify the decision scope from the user's prompt. If the user did not give a decision, derive one from the evidence and label it as inferred.
Write a short frame with:
If key context is missing and the task is not blocked, proceed with labelled assumptions instead of asking a broad question.
Normalize every useful signal into ledger rows using the model in
references/evidence-model.md.
Each ledger row must include:
id: short stable id, such as I-03, T-14, M-02.source_type: interview, usability, support, survey, analytics, sales, field
note, or stakeholder.segment: user type or "unknown".signal: one-sentence observation.quote_or_metric: direct quote, metric, or "not provided".strength: strong, medium, or weak.limitations: why this evidence may be biased or incomplete.Never invent quotes, participant counts, dates, revenue impact, or metrics. If the user did not provide a number, use "not provided" and explain what evidence would increase confidence.
Cluster evidence into 4 to 6 themes. For each theme:
Prefer verbs over nouns: "Teams abandon setup when the first blank state asks for too much" is better than "Onboarding problem".
Create an opportunity matrix with 3 to 5 options. Score each option on a 1 to 5 scale:
Show the total score, but do not let the score replace judgment. Add one sentence on why the top recommendation wins.
Write a decision memo with:
Keep the memo short enough to read in under one minute.
Produce a self-contained index.html. Use the active DESIGN.md for typography,
spacing, color roles, and component tone, but keep the information architecture
stable:
The artifact should be interactive but durable. Simple vanilla JavaScript is allowed for filtering evidence, switching views, or highlighting related ids. No framework dependency is required.
Run the checklist. Then emit one concise orientation sentence and one HTML artifact:
<artifact identifier="research-decision-room" type="text/html" title="Research Decision Room">
<!doctype html>
<html>...</html>
</artifact>
Nothing after the closing </artifact>.