You're running 0–2 experiments per quarter. The benchmark is 10–20. Here's why.

$3,497 · 10 days · velocity guarantee

Built for B2B SaaS teams running fewer than 5 experiments per quarter

THE PROCESS

10 days. From guessing to a system.

1–4

Experimentation Audit

We audit your current experimentation setup: tools, process, hypothesis quality, statistical methodology, and team velocity. You get a clear picture of what's working, what's slowing you down, and where results go inconclusive.

5–7

Calibration + Frameworks

Sample size calculations calibrated to your actual traffic volumes. Statistical methodology recommendation for your context. Hypothesis quality framework so every experiment starts with a testable claim, not an opinion.

8–10

Roadmap + Handover

Quarterly experiment roadmap with the next 12 experiments prioritized by expected impact. Velocity improvement plan. Full handover with documentation and a walkthrough call.

What you walk away with.

Experiment Velocity Scorecard

Your current state assessed: experiments per quarter, conclusive rate, time-to-decision, hypothesis quality. You see the gap between where you are and where you should be.

Sample Size Calculator

Calibrated to your traffic volumes. Your team stops launching experiments that can never reach significance and starts running tests that actually produce answers.

Hypothesis Template + Quality Criteria

A structured template that turns opinions into testable claims. Quality criteria so your team can evaluate whether a hypothesis is worth testing before spending traffic on it.

Statistical Methodology Recommendation

Frequentist or Bayesian — we tell you which fits your traffic patterns, team size, and decision speed. No more defaulting to whatever the tool picked.

Quarterly Experiment Roadmap

The next 12 experiments prioritized by expected impact. Each with a hypothesis, primary metric, and estimated runtime. Your team has a quarter of experiments ready to go.

Tooling Recommendations

If your current setup is limiting velocity, we tell you what to change and why. If your tools are fine, we say that too — the bottleneck is usually process, not software.

Is this you?

You're running 0–2 experiments per quarter. The benchmark for your stage is 10–20. Something is blocking velocity.

Most of your experiment results come back "inconclusive." You run tests, wait weeks, and learn nothing.

Nobody calculates sample sizes before launch. Experiments run until someone gets impatient and calls it.

Hypotheses come from opinions, not data. The loudest voice in the room decides what to test next.

Not a fit if:

You have no analytics infrastructure at all (start with the Analytics Audit), have under 5K monthly active users, or aren't willing to invest in experiment infrastructure after the assessment.

Take the free Experiment Velocity Scorecard →

Questions.

Or book a call →

What's the minimum traffic needed? +

At least 5K monthly active users. Below that, most experiments can’t reach statistical significance in a reasonable timeframe — and the assessment would recommend building traffic before building an experiment program.

What does "velocity" mean? +

Experiments per quarter that produce definitive results — not just experiments launched. A team that runs 10 experiments and gets 8 conclusive results has higher velocity than a team that runs 20 and gets 3.

Bayesian vs. frequentist — does it matter? +

Yes, but the right choice depends on your traffic volume, decision speed requirements, and team expertise. We’ll tell you which approach fits your context and why. Most B2B SaaS teams with lower traffic benefit from Bayesian methods.

What happens after the assessment? +

You can run experiments yourself using the roadmap, frameworks, and calculator we deliver. If you want hands-on execution — experiments designed, launched, and analyzed — the Growth LAB is the next step.

You're running 0–2 experiments per quarter. The benchmark is 10–20. Here's why.

10 days. From guessing to a system.

What you walk away with.

Is this you?

Velocity guarantee.

Questions.

Stop running experiments that teach you nothing.