Growth and monetization
Time to value
How long a new user waits to feel the outcome they came for — and the patterns that shrink that wait.
Time-to-value (TTV) is how long it takes a new user to experience the outcome they came for. Activation rates rise when TTV falls — as long as you do not skip the value itself.
Casey Winters' rule of thumb from Grubhub and Pinterest: get to product value as fast as possible — but not faster. Stripping the product until the core loop is visible often beats adding more onboarding chrome.
Concept
Time-to-value is the clock from signup to the aha moment. Instrument it as a distribution (median and p90), not only a mean. A mean dragged by power users hides that most people never activate.
The big idea
Cold-start products are the hard case: an empty project, an empty feed, an empty dashboard. The product "works" only after the user does work. You are trying to borrow value until their own data arrives.
A restaurant that makes you plate your own food from an empty kitchen will lose people at the door. Templates, sample data and imports are the plated dish. The analogy breaks when the sample is so fake that users do not believe the real product will look like that.
Walking through the patterns
Common ways to shrink TTV:
- Templates and starters. Notion templates, Figma community files, "start from a sample board." The user edits something real instead of staring at a blank canvas.
- Sample / demo data. Analytics products that ship with a demo workspace; CRM sandboxes with fake companies. Users learn the shape of value before connecting production data.
- Import and integrations. "Connect Google Calendar," "import from CSV," "sign in with GitHub and pull repos." One integration often replaces ten manual setup steps.
- Progressive setup. Ask for the minimum to show value now; defer SSO, billing and admin settings until they matter.
- Default happy path. Pre-select sensible defaults. Every required field is a tax on TTV.
At Pinterest, simplifying the feed for new users (less noise around pins) improved activation more than teaching emails about how the product worked. Teaching is slower than showing.
Instrument TTV as median hours from signup to the activation event, plus p90. Pair it with activation rate: % of signups that hit the event within the window (e.g. 7 days).
Tip
A beautiful empty state that takes four seconds to hydrate loses people who would have activated. Treat the first-run path as a latency SLO, not a place to load every analytics SDK.
Common mistakes
- Adding chrome instead of cutting setup. Tours and emails about the product often lose to making the first screen simpler.
- Reporting only mean TTV. Power users finish in minutes; the median user may never finish.
- Asking for billing, SSO and notifications before first value. Each prompt is a leak.
Check yourself
Median TTV is 20 minutes. Mean TTV is 8 minutes. What is going on?
A minority of fast users pull the mean down. Most people are slower — or never activate. Trust the median and p90.
Would a 12-step product tour that explains every feature likely cut TTV?
Usually no. Tours teach chrome. Templates, sample data and fewer required fields cut TTV.
Key takeaways
- TTV is signup → aha. Shrink it without skipping the value.
- Templates, sample data, imports and progressive setup beat blank canvases.
- Report median and p90, not just the mean. First-run latency is an activation bug.
Further learning
Next, pick the surface that gets people there in onboarding patterns.
Casey Winters on why teaching emails often fail and density thresholds matter.
Why onboarding is the most crucial part of your growth strategy (Casey Winters)Onboarding is often the weakest component of a company's growth strategy and also one of the hardest to solve. I talk about how to think about onboarding and some best practices I've learned along the way.caseyaccidental.com
Related
Activation and onboarding
Aha moments, time-to-value and onboarding flows that turn signups into active users.
Aha moments
Activation is the early action that predicts retention — found with cohort analysis, not a brainstorm.
Onboarding patterns
Checklists, empty states, tours and walkthroughs — which surfaces actually move people toward value.