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.
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
- Initialize API client authentication using JSON Web Tokens (JWT) derived from {{api_key_env_var}} for {{retailer_app_id}}.
- Construct API query payloads targeting the latest customer reviews filtered within the specified {{review_lookback_hours}} window.
- Normalize reviews from different store schemas into a standardized internal consumer feedback object.
- Implement keyword regex matching against review titles and bodies using {{checkout_keyword_list}}.
- Filter aggregated reviews against {{minimum_star_rating_threshold}} to isolate high-priority operational bugs.
- Format payload cards containing user device metadata, app version, localized territory, and customer comment excerpt.
- Dispatch formatted webhook payloads to {{alert_webhook_url}} with exponential backoff retry logic.
- 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
- Package Dependencies (
package.jsonsnippet) - Environment Configuration Guide
- Complete Automation Script (
review_triage.js) - 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?
Explicit role, a named task, and discrete steps the model can follow.
Background, inputs and variables the model needs before it starts.
Hard boundaries — what the model must and must not do.
A named, field-level shape for the response.
Ordered work items that force analysis before an answer.
Length and structure that travel across frontier models.
Signal density — instruction weight without padding.
Documented variables so the scaffold adapts to new inputs.
Quality bar, assumptions and behaviour when inputs are thin.
How much real usage the template has behind it.