Instructions:

Growth is not a guessing game—it’s a series of structured experiments that help you optimize your product, messaging, and acquisition strategies. This log will guide you in systematically testing hypotheses, tracking performance, and iterating based on real data.

Each experiment should be actionable, measurable, and time-bound to help you refine your go-to-market approach efficiently.

1️⃣ Experiment Hypothesis

Clearly define what you are testing and what you expect to happen.

📌 Formula: "If we [make this change], then we expect [this outcome] because [this assumption]."

📌 Example: "If we add a '1-click sign-up' feature, then we expect a 20% increase in conversion rates because users find multi-step sign-ups frustrating."

✍ Your Hypothesis: ___________________________________________________________

2️⃣ Test Setup & Variables

Define the parameters of your experiment, including what you’re testing against.

Variable Control Group Test Group
Headline on Landing Page "Start hiring in days, not months." "Find top talent instantly with AI-powered matching."
Call-to-Action (CTA) "Sign Up for Free" "Get Started in 60 Seconds"
Pricing Model $29/month $19/month for early adopters

✍ Your Test Setup: ___________________________________________________________

3️⃣ Data Tracking & Performance Metrics

What success metrics will determine if the test worked?

Metric Baseline Goal Test Result
Conversion Rate 10% 15% TBD
Click-Through Rate (CTR) 2.5% 4% TBD
Churn Rate 20% 15% TBD

📌 Example: