Hypothesis testing

Structure experiments around clear predictions to focus efforts on learning rather than random changes and make results easier to interpret afterward.

Hypothesis testing

Hypothesis testing

definition

Introduction

Why it matters

How to apply it

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Growth orchestration

Get a grip on what's actually working and what needs course correction. Use data and experiments to make decisions instead of opinions. See how changes in one part of the system affect everything else. Random tactics don't compound, coordinated ones do.

Explore playbooks

Tool selection

Tool selection

Select tools across your growth stack using clear evaluation criteria. Avoid common pitfalls, ensure integrations work, and build a system that scales with your business.

Customer research

Customer research

Uncover specific pain points, validate assumptions, and reveal what actually drives buying decisions. Run research that produces actionable insights, not just interesting quotes.

Quarterly strategy

Quarterly strategy

Run quarterly business reviews that assess current state, set ambitious but realistic goals, build actionable roadmaps, and define key results that keep everyone aligned.

Monthly review

Monthly review

Analyse monthly performance data across all four growth engines. Identify what is working, what is not, and make tactical adjustments using a structured decision framework.

Related books

Lean Startup

Eric Ries

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Lean Startup

A disciplined approach to experiments. Define hypotheses, design MVPs and learn before you scale.

Related chapters

1

Find bottlenecks through research and data

Look at your dashboard to identify where conversion drops, then use customer research to understand why. Bottlenecks are where the most impact lives.

2

Write hypotheses and design proper experiments

Don't just "try something". Write a hypothesis predicting what will happen and why. Design the experiment with proper controls so you actually learn whether your hypothesis was right.

Wiki

Growth mindset

Cultivate belief that skills and results improve through deliberate effort, treating setbacks as learning opportunities rather than fixed limitations.

Workflow automation

Connect triggers to actions across systems so repetitive tasks happen automatically and teams can focus on work that requires judgement instead of admin.

Growth marketing

Apply disciplined experimentation across the entire customer lifecycle, optimising every stage through rapid testing and data-driven iteration.

Sales tech stack

Assemble tools that manage pipeline, automate outreach, and track performance to help reps sell more efficiently and managers forecast accurately.

Partner-led growth

Scale through partner relationships where other companies distribute your product to their customers in exchange for commissions or reciprocal value.

Growth drivers

Identify the fundamental factors that directly cause business expansion, concentrating resources on activities that generate measurable results.

Compound growth rate

Calculate your true growth trajectory by measuring the rate at which your business grows when gains build on previous gains over multiple periods.

Attribution model

Assign credit to marketing touchpoints that influence conversions to understand which channels work together and deserve budget in multi-touch journeys.

Data warehouse

Store raw data from all business systems in one place to run analyses and build reports that combine information across marketing, sales, and product.

Net Revenue Retention (NRR)

Track revenue growth from existing customers through expansion and contraction to prove your product delivers increasing value over time.

Deep Work

Block extended time for cognitively demanding tasks requiring sustained focus, maximising valuable output whilst minimising shallow distractions.

Eisenhower Matrix

Prioritise tasks systematically by sorting them into urgent-important quadrants, focusing effort on high-impact activities.

Pirate metrics

Track your user journey through Acquisition, Activation, Retention, Referral, and Revenue to identify which stage constrains growth most.

P-value

Interpret experiment results to understand the probability that observed differences occurred by chance rather than because your changes actually work.

Email sequence

Automate multi-touch email campaigns that adapt based on recipient behaviour to nurture leads consistently without manual follow-up from reps or marketers.

Positioning statement

Define how you're different from alternatives in a way that matters to customers to guide all messaging and ensure consistent market perception.

Referral marketing

Turn satisfied customers into active promoters who systematically bring qualified prospects into your pipeline at near-zero acquisition cost.

Constraint

Identify and leverage limitations as forcing functions that drive creative problem-solving and strategic focus.

Drip campaign

Send a series of scheduled emails that educate prospects over time to stay top-of-mind without overwhelming them with aggressive sales pitches.

Hypothesis testing

Structure experiments around clear predictions to focus efforts on learning rather than random changes and make results easier to interpret afterward.