How to Run an A/B Test Specifically for TTV
Most A/B tests measure conversion: "Did 50% or 60% click the button?" Testing for Time To Value is subtler. You are measuring: "Did they click the button faster?"
This requires a different statistical mindset.
1. The Setup
- Hypothesis: "Adding 'Sign in with Google' will reduce TTV by eliminating the email verification step."
- Group A (Control): Standard Email/Password Sign Up.
- Group B (Variant): Prominent "Sign Up with Google" button.
2. The Metric (The Trap)
Don't just look at Sign Up Rate. Group B might have lower Sign Up Rate (maybe people trust Google less?), but faster TTV. You need to measure Time From Landing to Value.
3. The Result
- Group A: 40% Signup. Median TTV: 10 mins.
- Group B: 40% Signup. Median TTV: 2 mins.
4. The Analysis
If you only looked at Conversion (40% vs 40%), you would call the test a "Fail" or "Neutral." But Group B is a Massive Win.
- It got users to value 5x faster.
- It reduced the "Time to Habit" window.
- It likely increased Day-30 Retention (which you will see later).
4. The Pitfall (Speed vs Understanding)
Warning: You can cheat TTV by removing all education.
- Variant C: Remove the Tutorial.
- Result: TTV drops to 10 seconds! (Amazing!).
- Long Term Result: Churn skyrockets because they don't know how to use the tool.
Rule: Always pair a TTV test with a Retention Guardrail. "We want to lower TTV, provided that Day-30 Retention does not drop."
