Onboarding Time-to-Value Estimator
Calculate user onboarding completion rates and optimize time to value. Enter values for instant results with step-by-step formulas.
Worked Examples
Example 1: B2B SaaS Tool
Problem:15-step onboarding, 8 minutes average, 55% completion, 10% dropoff/step. 1,000 signups/month.
Solution:TTV: 120 minutes total. 450 users drop off. Industry benchmark: 60-80% completion. Consolidate to 8 steps, target 70% completion.
Result:55% → 70% target | -7 steps | 150 more activated users/month
Example 2: Consumer Mobile App
Problem:6-step onboarding, 2 minutes each, 45% completion, 12% dropoff/step. 5,000 installs/month.
Solution:TTV: 12 minutes. 2,750 drop off. Benchmark: 50-70%. Focus on first 2 steps where dropoff is highest. Add progress indicators.
Result:45% completion | First 2 steps critical | Quick wins in step simplification
Example 3: Enterprise Software
Problem:25-step onboarding (configuration heavy), 10 min/step, 75% completion. 50 new companies/month.
Solution:TTV: 250 minutes (4+ hours). Good completion but very long. Break into phases: essentials (complete first), optional configuration (defer).
Result:75% completion (Good) | But 4+ hours TTV | Phased approach needed
Frequently Asked Questions
What is Time to Value (TTV)?
TTV measures how long until a new user experiences the core value of your product. Shorter TTV correlates with higher activation, retention, and conversion. It's the key metric for onboarding effectiveness.
What's a good onboarding completion rate?
Varies by product type. B2B SaaS: 60-80%. Consumer apps: 40-60%. Enterprise: 80-95%. Mobile games: 30-50%. Context matters—complex products naturally have longer onboarding.
How many onboarding steps are ideal?
5-8 steps is typically optimal. Fewer than 5 may not convey enough value. More than 10 creates fatigue. Each additional step loses 5-15% of users. Ruthlessly prioritize what's essential.
What causes onboarding dropoff?
Common causes: too many steps, unclear instructions, required fields that feel invasive, slow load times, bugs, asking for commitment too early (payment, permissions), and not showing value quickly enough.