Amplitude → Claude → Jira: Feature Prioritization Pipeline
Exports user behavior analytics from Amplitude, uses Claude to identify high-impact feature opportunities, and creates prioritized Jira epics. Lets product data drive what gets built next.
Workflow Steps
Amplitude
Export behavioral analytics
Connect your Amplitude project and set up scheduled exports for key behavioral data including feature usage frequency, user flow drop-off points, power user patterns, and cohort retention curves. Include event property breakdowns to understand which feature configurations drive the most engagement.
Google Sheets
Structure and contextualize product data
Pipe the Amplitude exports into a Google Sheet that adds business context such as revenue impact estimates, customer tier breakdowns, and strategic priority weights. Calculate composite scores that combine usage data with business value so Claude can make recommendations that balance user behavior with company objectives.
Claude
Identify and prioritize feature opportunities
Send the contextualized behavioral data to Claude with a prompt that identifies underperforming features with high traffic but low completion rates, workflow bottlenecks causing user drop-off, features that power users love but casual users overlook, and gaps in the user journey. Ask for prioritization using a RICE framework combining impact, reach, confidence, and effort.
Jira
Create prioritized feature epics
Generate Jira epics for the top-priority feature opportunities with detailed descriptions including the behavioral evidence, expected impact, user segment affected, and suggested approach. Assign a priority score based on the RICE framework, link supporting Amplitude charts, and create initial stories for discovery and design phases.
Workflow Flow
Step 1
Amplitude
Export behavioral analytics
Step 2
Google Sheets
Structure and contextualize product data
Step 3
Claude
Identify and prioritize feature opportunities
Step 4
Jira
Create prioritized feature epics
Why This Works
Amplitude provides deep behavioral data that reveals what users actually do (not just what they say), Claude adds the analytical reasoning to translate behavioral patterns into product strategy recommendations, and Jira creates the execution framework to turn insights into shipped features. This pipeline ensures the roadmap is continuously informed by real user behavior.
Best For
Product managers and product leaders who want to make data-driven roadmap decisions rather than relying on intuition or the loudest stakeholder voice.
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