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.

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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

Activity tracking

Log emails, calls, and meetings automatically to understand what drives deals forward and coach reps based on actual behaviour rather than guesswork.

P-value

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

Integration

Connect tools so data flows automatically between systems to eliminate manual entry, keep records current, and enable sophisticated workflows across platforms.

Growth lever

Focus resources on high-impact business mechanisms where small improvements generate disproportionate results across the entire customer journey.

Prioritisation

Systematically rank projects and opportunities using objective frameworks, ensuring scarce resources flow to highest-impact work.

Churn rate

Measure the percentage of customers who stop paying to identify retention problems and calculate the true cost of growth in subscription businesses.

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.

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.

Lead velocity rate

Measure the month-over-month growth in qualified leads to predict future revenue and catch pipeline problems before they impact revenue three months later.

Contact management

Organise customer and prospect information to track relationships, communication history, and next steps without losing context or duplicating effort.

Value proposition

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

A/B testing

Compare two versions of a page, email, or feature to determine which performs better using statistical methods that isolate the impact of specific changes.

Statistical significance

Determine whether experiment results reflect real differences or random chance to avoid making expensive decisions based on noise instead of signal.

Customer data platform

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

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.

Unit economics

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

Key Performance Indicator (KPI)

Select metrics that reveal whether you're achieving strategic goals to track progress and identify problems before they become expensive to fix.

Cohort analysis

Group customers by acquisition period to compare behaviour patterns and identify which acquisition channels and time periods produce the best long-term value.

Minimum viable test

Design experiments that answer specific questions with minimum time and resources to maximise learning velocity without over-investing in unproven ideas.