product-diagnosis

Correlate Amplitude analytics, Datadog errors, and Slack feedback to diagnose product health.

142|16|Updated Mar 20, 2026
One-click install
npx skills add https://github.com/amplitude/builder-skills --skill product-diagnosis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: product-diagnosis
Source: https://github.com/amplitude/builder-skills/tree/main/engineering-skills/product-diagnosis
Command: npx skills add https://github.com/amplitude/builder-skills --skill product-diagnosis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Diagnoses product health by cross-referencing Amplitude analytics (dashboards, charts, funnels, feedback, AI agent analytics), optionally Datadog (errors, latency, stack traces), and optionally Slack (qualitative feedback, bug reports, feature requests). Identifies what's broken, what's working, and what to do about it — with root causes, not just symptoms. Use when asked to "diagnose my product", "what's going on", "product health check", "what's broken", "where are users struggling", "give me a product diagnosis", or "what should I focus on".

Core Features & Use Cases

  • Cross-reference analytics data with error signals and qualitative feedback to diagnose health.
  • Prioritize root-cause fixes by correlating signals across Amplitude, Datadog, and Slack.
  • Produce structured reports that translate findings into actionable recommendations for product teams.
  • Example: When retention dips and qualitative feedback highlights confusion, surface the likely root cause and recommended experiments.

Quick Start

Summarize product health by correlating Amplitude analytics with optional Datadog and Slack data to output a root-cause diagnosis and prioritized actions.

Frequently Asked Questions about product-diagnosis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I diagnose product health using Amplitude analytics and Datadog error signals?

Diagnose product health by correlating Amplitude analytics, Datadog error signals, and Slack feedback to surface root causes. Cross-reference dashboards, funnels, and retention data to identify what is broken and prioritize actionable fixes.

What is the best way to find the root cause of a retention dip using analytics and user feedback?

Find the root cause of a retention dip by cross-referencing Amplitude funnels and retention signals with qualitative Slack feedback. Correlating these analytics and feedback signals surfaces the likely root cause and recommended experiments to resolve it.

Can I use Slack qualitative feedback to identify what is broken in my product?

Slack qualitative feedback identifies what is broken by enriching analytics data with bug reports and feature requests. Correlating Slack feedback with Amplitude dashboards and Datadog errors pinpoints where users struggle and what to focus on.

Does diagnosing product health require Datadog integration for root-cause analysis?

Diagnosing product health does not require Datadog integration. Datadog is an optional enrichment source for errors and latency; root-cause analysis works by correlating Amplitude analytics independently or alongside Datadog and Slack.

How do I generate a structured product health report from analytics and error data?

Generate a structured product health report by correlating analytics data with error signals and qualitative feedback. The reporting workflow translates cross-referenced findings from Amplitude, Datadog, and Slack into actionable recommendations for product teams.

When should I run a product health check across multiple analytics sources?

Run a product health check across multiple analytics sources when retention dips, qualitative feedback highlights confusion, or you need to know what is broken. Correlating signals across Amplitude, Datadog, and Slack prioritizes root-cause fixes over treating symptoms.