App stores
AuraScore 81/100

Post-Launch App Store Customer Sentiment Triage Automation

Build a Node.js monitoring script to pull store reviews, identify checkout friction, and alert consumer operations teams.

Deploy this script immediately following a retail app version release or promotional campaign. It queries App Store Connect and Google Play Developer APIs, isolates commerce-breaking customer reports, and streams structured alerts to response channels.

Template

Role: Senior Retail Mobile Operations Automation Architect.

Context

  • Store application identifiers: {{retailer_app_id}}
  • Environment secret key naming: {{api_key_env_var}}
  • Critical commerce purchase trigger words: {{checkout_keyword_list}}
  • Incident webhook endpoint: {{alert_webhook_url}}
  • Minimum critical review threshold: {{minimum_star_rating_threshold}}
  • Polling time window: {{review_lookback_hours}}

Task

Create a complete Node.js automation script that queries mobile app store APIs for newly posted customer reviews over {{review_lookback_hours}}, filters for negative customer sentiment impacting checkout transactions based on {{checkout_keyword_list}} and {{minimum_star_rating_threshold}}, and broadcasts enriched incident cards to {{alert_webhook_url}}.

Method

  1. Initialize API client authentication using JSON Web Tokens (JWT) derived from {{api_key_env_var}} for {{retailer_app_id}}.
  2. Construct API query payloads targeting the latest customer reviews filtered within the specified {{review_lookback_hours}} window.
  3. Normalize reviews from different store schemas into a standardized internal consumer feedback object.
  4. Implement keyword regex matching against review titles and bodies using {{checkout_keyword_list}}.
  5. Filter aggregated reviews against {{minimum_star_rating_threshold}} to isolate high-priority operational bugs.
  6. Format payload cards containing user device metadata, app version, localized territory, and customer comment excerpt.
  7. Dispatch formatted webhook payloads to {{alert_webhook_url}} with exponential backoff retry logic.
  8. Write execution metrics (total reviews scanned, triage hits, dispatched alerts) to stdout in structured JSON log format.

Constraints

  • MUST be written in modern Node.js (ES modules, Node 18+) without requiring a database.
  • MUST NOT log raw API private keys or authentication tokens to stdout.
  • Webhook dispatch MUST contain retry handling for network transient errors (HTTP 429 and 5xx).
  • Rate limiting for store APIs MUST be explicitly handled via pacing or backoff.

Output format

  1. Package Dependencies (package.json snippet)
  2. Environment Configuration Guide
  3. Complete Automation Script (review_triage.js)
  4. Webhook Payload JSON Sample

Self-review

  • Are {{checkout_keyword_list}} and {{minimum_star_rating_threshold}} correctly utilized in the filtering chain?
  • Does the script prevent duplicate alert notifications if executed repeatedly?
  • Is the JSON Web Token generation conforming to App Store Connect / Google Play developer specifications?
AuraScore breakdown
81/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

developers
developers-app-stores
retail-consumer-goods
nodejs
app-store-connect
retail-operations