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

The cockpit that sits above your four growth engines. Individual teams can excel at their own metrics, but without orchestration they're musicians playing different songs. This is where everything comes together and where improvements in one engine amplify gains in another.

Explore playbooks

Growth team tools

Growth team tools

The wrong tools create friction. The right ones multiply your output without adding complexity. These are the tools I recommend for growth teams that move fast.

Compound growth

Compound growth

Small improvements multiply. A 10% gain across twelve metrics doesn't add up to 120% - it compounds to 3x growth. This is the mathematical engine behind systematic growth.

Growth strategy

Growth strategy

Four decisions that shape everything else. When growth feels harder than it should, the problem is usually here. Get these right and execution becomes much easier.

Growth rhythms

Growth rhythms

Without rhythm, effort becomes scattered and progress invisible. A consistent operating cadence keeps your team aligned and your growth system continuously improving.

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

Building your backlog

Random testing wastes time and teaches you nothing. Learn how to collect experiment ideas systematically and prioritise them based on potential impact so you always know what to run next.

2

Creating strong hypotheses

Most experiments fail before they start because the hypothesis is vague or untestable. Learn how to write hypotheses that are specific enough to prove or disprove and tied to metrics that matter.

Wiki

Growth hacking

Deploy fast, low-cost experiments to discover scalable acquisition and retention tactics, learning through iteration rather than big bets.

Hypothesis testing

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

Customer data platform

Unify customer data from every touchpoint to create complete profiles that power personalised experiences across marketing, sales, and product.

Unit economics

Analyse profit per customer to determine if your business model works at scale before investing heavily in growth and customer acquisition.

Partner-led growth

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

North Star Metric

Choose one metric that best predicts long-term success to align your entire team on what matters and avoid conflicting priorities that dilute focus.

Eisenhower Matrix

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

Value proposition

Articulate the specific outcome customers get from your solution to communicate why they should choose you over doing nothing or using alternatives.

Inbound Marketing

Attract prospects through valuable content that solves real problems, building trust and generating qualified leads who approach you.

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.

Monthly Recurring Revenue (MRR)

Track predictable monthly subscription revenue to monitor short-term growth trends and make faster decisions than waiting for annual revenue reports.

API

Enable tools to exchange data programmatically so you can build custom integrations and automate processes that vendor-built integrations don't support.

P-value

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

Net Revenue Retention (NRR)

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

Annual Recurring Revenue (ARR)

Track predictable yearly revenue from subscriptions to measure business scale and growth trajectory in B2B SaaS and recurring revenue models.

Go-to-market strategy

Plan how you'll reach customers and generate revenue by choosing channels, pricing, and sales models that match your product and market reality.

Last-touch attribution

Assign full conversion credit to the final touchpoint before purchase to identify which channels close deals but miss earlier influences that started journeys.

Standard Operating Procedure (SOP)

Document your repeatable processes in clear, step-by-step instructions that ensure consistency, enable delegation, and capture institutional knowledge.

OMTM (One Metric That Matters)

Focus your entire organisation on the single metric that best predicts success at your current growth stage, avoiding distraction and misalignment.

Pirate metrics

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