Tools
Calculators and templates, with the formula and a worked example on the page.
- Product-market fit survey: the Sean Ellis test, how to run it and how to read the score
The Sean Ellis test asks users how they would feel without your product. Score the share saying very disappointed. Ellis set the line at 40 percent.
- A/B test sample size and duration calculator, with the formula
A 5% baseline needs 31,234 visitors per variant to detect a 10% relative lift at 5% significance and 80% power. Formula, inputs and run time.
- Growth experiment template with ICE scoring, a weekly cadence and a backlog you can copy
A growth experiment template gives each idea a hypothesis, an ICE score from 1 to 10, one owner and one metric, then ranks the backlog every week.
- Growth model template for startups, with inputs, a cohort layer cake, a loop row and a sensitivity table
A growth model template in four sheets: inputs, a cohort layer cake, a loop row and a sensitivity table, with worked numbers you can copy this week.
- Onboarding Email Sequence Template With Six Emails, Timing and Metrics
Six onboarding emails from Day 0 to Day 21+, each with a trigger, one job, an exit condition and one metric, measured against a holdout group.
- Viral Coefficient Calculator With the K Factor Formula and Viral Cycle Time
The viral coefficient (K) equals invites per user times invite conversion rate. Above 1 it compounds. Below 1, total users equal seed divided by (1 minus K).
- The one-page experiment write-up: hypothesis, design, result, decision
One page per experiment, written in two halves: the design before the test starts (hypothesis, metric, sample, duration, what would count as a win) and the result after it ends (the numbers with their interval, the decision, what you learned). Writing the first half before launch is what stops a team from reading the result it hoped for. Copy it or download it as Markdown.
Elsewhere on Race to Scale
- Guides
How the mechanics work, with the evidence and the arithmetic.
5 pages - Tactics
Every tactic with the hours it takes, the days until a signal, and how strong the evidence is.
31 pages - Benchmarks
Split times for growth metrics, each with its source and its sample.
5 pages - Teardowns
Real pages redrawn as their structure, with what each part does.
3 pages - Playbooks
Several tactics in order, with the timings between them.
7 pages - Cases
Short cited accounts of what a company ran and what happened.
43 pages - Digests
Public reports read for you, with their key numbers.
1 page - Glossary
Growth terms defined in a sentence or two, with where they apply.
12 pages - Agencies
Growth agencies for startups and small companies, A to Z, with facts checked on each agency's own pages.
- Voices
Posts from people who run growth that teach something specific, with our label and our take.
How these pages are made
Every factual sentence on a Race to Scale page is checked against a passage on a source page that was read for that page, and numbers are computed in code from those sources, not typed from memory. Each page lists its sources and links them where they are used.
Every page shows the day it was first published and, when a fact changes, the day it was updated; no date is set earlier than the day a page went up. The full method is on How we work.