Product Analytics

Time to First Value (TTFV)

Time to First Value measures elapsed time from the start of onboarding to the first event that demonstrates meaningful value for the user. The value event must be specific to the product, such as publishing a report or completing a successful transaction.

Business context

Why Time to First Value matters

Shorter TTFV can indicate less friction and faster activation. Longer TTFV may reflect complexity, missing data, unclear guidance, or a shift toward more demanding customers.

Business question
How long does it take a new user or account to reach a meaningful outcome?
Teams that use it
Product, onboarding, implementation, customer success, growth, and design teams.
Decisions it supports
Onboarding simplification, implementation support, product guidance, integration priorities, and lifecycle messaging.
Calculation

Time to First Value formula

Time of First Value Event − Onboarding Start Time

Formula components

Onboarding start time
The timestamp for a consistent journey-start event such as sign-up or implementation kickoff.
First value event
The earliest recorded event that demonstrates the user obtained the intended product value.
Elapsed time
The difference between the two timestamps, measured in an appropriate unit.
Eligible cohort
Users or accounts with an observable start and sufficient time to reach value.

How to calculate Time to First Value

  1. Define a start event and a value event that reflects a genuine customer outcome.
  2. For each eligible user, capture the first timestamp for both events.
  3. Subtract onboarding start from first value time.
  4. Summarise the distribution with a median or percentiles as well as an average.
Worked example

Time to First Value example

A new user starts onboarding at 09:30 on Tuesday and publishes the first usable report at 14:00 that day.

  1. Onboarding start = 09:30.
  2. First value event = 14:00.
  3. TTFV = 14:00 − 09:30 = 4 hours 30 minutes.

This user’s Time to First Value is 4.5 hours.

The user reached the defined outcome four and a half hours after starting. A cohort metric should combine comparable user-level results.

How to interpret the result

Compare TTFV by onboarding path, customer segment, required integration, and acquisition source. Inspect users who never reach value separately rather than dropping them silently.

Expected time varies from minutes in simple self-serve tools to weeks in complex implementations. Use a value event and time unit appropriate to the product.

Common mistakes and limitations

A superficial value event
Completing a tutorial may not mean the user achieved a business outcome.
Excluding non-activators
Only analysing successful users makes the experience look faster than it is.
Clock inconsistencies
Elapsed time and business time answer different questions.
Misleading averages
Long implementation outliers can dominate the mean; show the distribution.

Turn metric definitions into answers your team can use.

Vizma helps teams understand and track business metrics using their data. Bring your Time to First Value definition, underlying data, and reporting questions to a Vizma demo.