ProductPulseFischer Product LabOpen the demo

Portfolio demonstration · read-only · synthetic data

Did the launched
product actually work?

Adoption, engagement, retention, revenue, and every shipped initiative — one decision-ready view. The status is computed, never asserted.

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Executive Brief

Weekly Active Users

5,230+31.4% since January

Activation rate

64.0%

Signed Up → Activated

North Star

WAU from the same series as the engagement screen.

Initiative to metric

Before → after adoption. Status from computeImpact — never hardcoded.

  • AI Jira Triage AssistantAI

    12% → 64%+52 pts

    Strong Impact
  • Usage-Based Pricing MigrationStandard

    30% → 46%+16 pts

    Monitor
  • In-App Gamification BadgesStandard

    5% → 9%+4 pts

    Underperforming

How it decides

Impact is a pure function. Same numbers, same verdict. No model in the loop.

  1. 01Record

    Every shipped initiative — AI and standard — is logged with the metric it was meant to move, and the baseline at launch.

  2. 02Measure

    Adoption before and after come from the same stored series. The chart and the headline numbers cannot disagree.

  3. 03Score

    A pure function rates the movement. Lift of 25 points plus a real outcome is Strong Impact. Lift under 5 is Underperforming.

  4. 04Decide

    Same inputs, same status, always. No model in the loop. The verdict is explainable because it is arithmetic.