Hypothesis Testing Framework

Test GTM hypotheses with structured evidence collection

10 minutesManual: 1-2 hours

Takes a GTM hypothesis (new segment, new message, new channel) and designs a structured test: success criteria, minimum sample size, data collection method, timeline, and kill criteria. Prevents both premature abandonment and zombie experiments.

Workflow Steps

1

Hypothesis Formulation

/hypothesis-builder

Sharpen the hypothesis into a testable statement with predictions

2

Test Design

/deep-planning

Sample size, duration, control group, and measurement method

3

Success Criteria

/finance

Define what "success" looks like with specific numbers

4

Kill Criteria

/chief-of-staff

Define when to abandon the experiment and redirect resources

Example

Hypothesis: "DevOps teams at companies with 200-500 employees will convert 2x better than our current ICP." The workflow designs a test: 50 outbound emails to the new segment vs. 50 to current ICP, 4-week measurement window, success = reply rate >20% (vs. current 12%), kill = reply rate <8% at Week 2 midpoint.

Related Workflows

Discovery Call Prep

Hypothesis-driven discovery questions from account research

6 minutes

A/B Test Analysis

From raw experiment data to actionable recommendation in 8 minutes

8 minutes

ICP Development

Tribal knowledge to validated scoring model in 5 sessions

5 sessions (6-week engagement)

Deep Dives

AI GTM Strategy

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Built and maintained by Victor Sowers at STEEPWORKS