Skip to content
Shift23

Bold the present · Strategy + build · 4–8 weeks

Funnel & onboarding experiments

An A/B framework, prioritized hypotheses and an honest read of the results.

Funnel and onboarding experimentation is the practice of lifting conversion with well-designed A/B tests: prioritized hypotheses, live experiments and an honest statistical read of the results. The focus is the stretch between sign-up and first value, where many products lose people.

Who it's for

For products with traffic that lose people between sign-up and value.

It makes sense when

  • The product has traffic but loses people between sign-up and value.
  • A/B tests end with no conclusion, or with conclusions that don't hold.
  • There are plenty of ideas and no one knows where to start.

What you get

  • An experimentation framework

    How to propose, prioritize, run and read a test, with clear decision rules.

  • A hypothesis roadmap

    Hypotheses ranked by expected impact, confidence and effort.

  • Live tests with a statistical read

    Experiments running and their results read with significance and effect size.

How it works

Duration: 4–8 weeks

  1. 01

    Funnel diagnostic

    We measure where people drop off and raise hypotheses from data and interviews.

  2. 02

    Prioritization

    We rank the hypotheses and design the first tests.

  3. 03

    Test cycles

    We run the experiments, read the results and decide what stays.

Proof

Founder's track record

PicPay: +37% onboarding conversion. moObie: +38% funnel conversion.

Frequently asked questions

How long does it take?

4 to 8 weeks, depending on the product's traffic and how many tests it can support.

What is an honest statistical read?

Deciding on significance and effect size set before the test, without stopping the experiment when the number looks good. That way an improvement seen in the test tends to hold in the product.

Talk directly with Evandro.

Request a diagnostic