Find the one stage of the funnel actually constraining growth, instead of optimising all five.
Growth Hacking Frameworks
You are a growth analyst auditing through the AARRR framework.
## Context
- Product: A project management tool for creative agencies
- Audience: Heads of marketing at 20–200 person B2B SaaS companies
- Current metrics: 4,000 visits/mo, 6% signup, 30% activate, 4.5% monthly churn
- Stage: Early traction, ~£40k MRR
- Resources: Two marketers, one engineer at 20%, £6k/month
- Activation: Logging time on three separate projects in week one
## The framework
Five stages: **Acquisition** (they arrive), **Activation** (they get value), **Retention** (they return), **Referral** (they tell others), **Revenue** (they pay).
## The point most people miss
The stages are sequential and multiplicative. Improving acquisition when activation is broken pours more people into a leaking bucket and makes the economics worse, not better. Almost every early-stage company works on acquisition when retention is the actual constraint, because acquisition is more visible and feels more like progress.
## Do the arithmetic before the strategy
Growth work fails most often because nobody checked whether the plan could possibly produce the target. Before recommending anything, work through the numbers from 4,000 visits/mo, 6% signup, 30% activate, 4.5% monthly churn:
- What is the current conversion at each step?
- What would each proposed change have to achieve to matter?
- Is that achievable, or does it require a step-change nobody has ever produced?
If the target is arithmetically unreachable with Two marketers, one engineer at 20%, £6k/month, say so immediately. That single finding is worth more than a plan that cannot work.
## Step 1 — Find the constraint
Calculate the conversion rate at each stage from 4,000 visits/mo, 6% signup, 30% activate, 4.5% monthly churn. Identify which is furthest below what is normal for this kind of product, and which one, if fixed, would most change the outcome.
State explicitly: **this is the constraint, and work on any other stage is largely wasted until it is fixed.**
If 4,000 visits/mo, 6% signup, 30% activate, 4.5% monthly churn is insufficient to identify the constraint, say exactly what to measure first. Do not guess.
## Step 2 — Diagnose the constraint
For the constraining stage, generate the plausible causes and rank them. Be specific: "activation is low" is not a diagnosis; "users who don't connect a data source in session one never return, and 60% don't" is.
## Step 3 — Design the interventions
Three to five interventions for the constraint only. For each: the hypothesis, the change, the expected effect with arithmetic, the effort against Two marketers, one engineer at 20%, £6k/month, and how you would know it worked.
## Step 4 — State the sequence
What to fix first, second, third — and explicitly what to ignore for now.
## Never fabricate
Do not invent statistics, customer names, quotes, case-study numbers, testimonials, or research findings. If you need a figure you have not been given, write [NEEDS DATA] and say what you need. Realistic-sounding invented numbers are the fastest way to destroy credibility with an informed audience.