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App ratings drop war room

When an app's store rating dips, an agent team finds the release that caused it, backs the verdict with clustered review evidence and a confidence score computed in code, files deduplicated bugs and drafts support replies. Replies sit as pending until someone approves them in Slack, and nothing is ever published to a store.

SupportWorks with Claude Code · n8n+1Community example
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What it does

  • Ingests store reviews every six hours and checks for a ratings dip
  • Correlates the dip with release history and computes confidence in code, not by the model
  • Clusters reviews into stable labels so a second run reports growth instead of opening new tickets
  • Files at most three deduplicated bugs per run
  • Drafts policy checked replies for the worst reviews and queues them as pending

Your approval boundaries

Approval required

These actions always wait for your yes:

  • Approving any reply in Slack, and approval only changes its status
  • Publishing anything to an app store, which the setup never does

You decide what happens next.

More about this workflow

This setup is for support leads and small teams who answer customers every day. It takes a repeat chore off your plate and hands back something you can check quickly.

First, it ingests store reviews every six hours and checks for a ratings dip. Next, it correlates the dip with release history and computes confidence in code, not by the model. Then it clusters reviews into stable labels so a second run reports growth instead of opening new tickets. After that, it files at most three deduplicated bugs per run. Finally, it drafts policy checked replies for the worst reviews and queues them as pending. It works with your review sites, issue tracker, chat and automation platform, each on its own login with limited access.

You get the prep work done and waiting for you. The agent stops and asks for your yes before approving any reply in Slack, and approval only changes its status and publishing anything to an app store, which the setup never does, and says plainly if a step cannot be undone.

“Nothing is ever published to a store”
Tashen Muthayan tashen247 on GitHub · Oct 25, 2026
Before you startReview sites · Issue tracker accessScoped permissionsClaude Code or n8n
Explore required tools and model recommendations

Tools and access

  • Google Business Profile

    Handles the review sites part of this job. Grant read access to reviews only.

    API required: Yes. Needs a Google Cloud project with Business Profile API access approved for your account.

    Sign up: Google Business Profile

  • Linear

    Handles the issue tracker part of this job. Grant read plus create in one triage team.

    API required: Yes. Needs a personal API key or an OAuth app.

    Sign up: Linear

  • Slack

    Handles the chat part of this job. Grant a bot token in the channels it needs.

    API required: Yes. Needs a Slack app created in your workspace. It gets a bot token with the scopes you approve.

    Sign up: Create a Slack app

  • n8n

    Handles the automation platform part of this job. Grant create workflows, left inactive until reviewed.

    API required: Yes. Needs an n8n API key from settings. New workflows should stay inactive until you review them.

    Sign up: n8n

Official links only. Not sponsored, no affiliate links.

Model recommendations

Best pick

Claude Sonnet 5.5

Writes careful replies and reads long ticket threads.

$2 per million input tokens, $10 per million output tokens.

Anthropic docs as of October 11, 2026

Cheaper backup

Claude Haiku 5.5

Made for sorting and routing at high volume.

From $0.10 per million input tokens and from $0.50 per million output tokens.

Anthropic docs as of October 11, 2026

Our own picks. Not sponsored, no affiliate links.

Build your prompt

Add your details, then copy the prompt into your tool.

1Your details

Fill these in and the prompt updates as you type.

android and ios

default 0.3 stars

versions and dates

the only links allowed in replies

2Your prompt

4 of 4 still empty
Fill these in before you run it: [APP IDS: android and ios] [DIP THRESHOLD: default 0.3 stars] [RELEASE HISTORY: versions and dates] [SUPPORT DOMAIN: the only links allowed in replies] You are the App ratings drop war room agent. When an app's store rating dips, an agent team finds the release that caused it, backs the verdict with clustered review evidence and a confidence score computed in code, files deduplicated bugs and drafts support replies. Replies sit as pending until someone approves them in Slack, and nothing is ever published to a store. Use only the details filled in above. If any [BRACKETED] item is still blank or unclear, stop and ask for it first. Do not guess. What you do on your own: - Ingests store reviews every six hours and checks for a ratings dip - Correlates the dip with release history and computes confidence in code, not by the model - Clusters reviews into stable labels so a second run reports growth instead of opening new tickets - Files at most three deduplicated bugs per run - Drafts policy checked replies for the worst reviews and queues them as pending What you must never do without a yes from a person: - Approving any reply in Slack, and approval only changes its status - Publishing anything to an app store, which the setup never does Rules: - Before any step on the list above, stop and ask. Say in plain words what you want to do, who it affects, and whether it can be undone. - If something cannot be undone, say so first, in one short line. - Write drafts, not final actions. A person sends, pays, posts, or deletes. - Keep a short log of every action you took and every source you read. - If you are unsure, ask instead of guessing.
View run instructionsPaste into: Claude Code, n8n, LangGraph

Your answers stay in this browser only.

Run your workflow

Connect your tools with only the access this setup needs, then follow these steps.

Steps

Do these in order. Test on old data before it touches live work.

  1. 1Connect Google Business Profile with its own login, not yours. Grant read access to reviews only.
  2. 2Connect Linear with its own login, not yours. Grant read plus create in one triage team.
  3. 3Connect Slack with its own login, not yours. Grant a bot token in the channels it needs.
  4. 4Connect n8n with its own login, not yours. Grant create workflows, left inactive until reviewed.
  5. 5Paste the prompt where your harness takes instructions. See the note under the Copy button.
  6. 6Do a dry run on old or test data first. Check every draft and every stop point by hand before you let it near live work.
  7. 7Read its log after the first real run. Only widen access once a week of runs looks clean.

Safeguards and trust score

The score describes this example setup’s access, approval boundaries, ability to undo changes, and scope.

Access18 / 30

Can draft things that send or spend, so it sits close to risky actions.

Human approval30 / 30

Waits for a yes on: approving any reply in slack, and approval only changes its status, publishing anything to an app store, which the setup never does.

Undo and logs14 / 20

Proposes changes to live records, so the setup needs a change log and a way back.

Scope16 / 20

Runs on its own login across 4 tools. Fewer connections means a smaller blast radius.

How to raise it

  • Access: Take away its ability to send, post or spend. Let it only write drafts, and have a person press send or pay from their own account +6
  • Undo and logs: Stop it from editing live records. Have it write the change as a proposal you apply, and keep a log of every change with a way to roll it back +3
  • Scope: Cut it down from 4 connected tools to the 2 it needs most, each with its own limited login instead of your full account +2

Do all of these to reach 89, up from 78.

Want help getting there? Get an AI Trust Audit from Pixeldesigns

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