How Growthmind Works
Interrogation-first AI that diagnoses your stage, challenges assumptions, and runs focused weekly experiments.
The Weekly Experiment Loop
From first question to validated learning — here's exactly what happens each week
1
Interrogation
We start by asking the hard questions. Before giving you any advice, the AI challenges your assumptions about your product, market, customers, and stage. This isn't onboarding — it's a stress test for your thinking.
- 20+ deep questions about your business and market
- Assumption identification and challenge
- Stage diagnosis (idea, validation, or early traction)
- Blind spot surfacing — what you're not seeing
2
Market Research & Diagnosis
AI analyses your market, competitors, and positioning using live data. The output isn't a generic report — it's a diagnosis specific to your stage and situation, with clear constraints on what's relevant now.
- Company stage analysis
- ICP and pain point discovery
- Competitive landscape mapping
- Channel opportunity identification
- Stage-constrained recommendations
3
Experiment Design
Based on your diagnosis, the AI identifies your riskiest assumption and designs a focused experiment to test it. You get a clear hypothesis, success criteria, and a falsifiable prediction — not a vague plan.
- Riskiest assumption identification
- Hypothesis formulation with success criteria
- Minimum viable test design
- What-would-falsify-this framing
- Effort estimates and timeline
4
Test Asset Creation
The AI generates the specific assets you need to run the experiment — landing pages, outreach sequences, social posts, email drafts — all tailored to your brand voice and ICP. You review and approve everything before it goes anywhere.
- Landing page copy and structure
- Outreach messages and sequences
- Social media content
- Email campaigns
- Human-in-the-loop review queue
5
Measure, Learn, Iterate
After the experiment runs, the AI helps you interpret results. Did you get signal? What did you learn? Should you double down, iterate, or pivot? Every outcome feeds back into your growth profile, making the next cycle sharper.
- Result interpretation and signal extraction
- Learning capture (what worked, what didn't)
- Next experiment recommendation
- Growth profile update with new context
- Weekly cadence — repeat the cycle
Specialized AI Capabilities
Not one generic AI — specialised capabilities for each stage of the experiment loop
Research & Diagnosis
Deep-dive analysis of your market reality
Competitive Intelligence
Maps competitor strategies and finds positioning gaps
ICP Discovery
Identifies and profiles your ideal customers
Stage Diagnosis
Determines your real stage and constrains advice accordingly
Plus brand positioning analysis, pain point extraction, channel opportunity mapping, and industry context
Strategy & Experiment Design
Convert diagnosis into focused experiments
Assumption Identifier
Finds your riskiest assumption to test next
Experiment Designer
Creates falsifiable hypotheses with clear success criteria
Stage-Constrained Planner
Only recommends tactics that work at your actual stage
Plus channel prioritisation, execution planning, and KPI framework generation
Test Asset Generation
Create the assets needed to run experiments
Content Drafter
Landing pages, blog posts, and email sequences
Outreach Builder
Cold outreach, DM sequences, and partnership messages
Social Content
Platform-optimised posts for LinkedIn, Twitter/X, and more
All content is tailored to your brand voice and optimised for your ICP
Learning & Insights
Extract signal from experiments and compound learnings
Result Interpreter
Separates signal from noise in experiment outcomes
Insight Surfacer
Identifies patterns across experiments you might miss
Assumption Tracker
Tracks which assumptions have been validated or falsified
Every experiment feeds back into your growth profile — recommendations get sharper over time
Integrations That Power Experiments
Connect your existing tools — experiments are grounded in real data, not guesses
Analytics
Connect your analytics so experiment results are grounded in real traffic data
Product Analytics
User behaviour data shapes experiment design and targeting
Revenue
Revenue data helps validate whether experiments are moving the needle
Send outreach and email experiments directly
CMS
Publish experiment landing pages and content
Meetings
Extract customer insights from calls to inform experiment design
Social
Run social experiments and track engagement
Team
Get experiment updates and review notifications where you work
Key Concepts
Understand the methodology behind our approach
Interrogation-First AI
Our core philosophy: AI should challenge your assumptions before giving advice. Unlike generic AI tools that accept whatever you tell them, Growthmind questions whether you're asking the right thing — because bad questions are more dangerous than bad answers.
Why it matters:
Eliminates the 'garbage in, confident garbage out' problem of most AI tools.
Stage Diagnosis
Before recommending any tactic, the AI determines your actual stage — idea, validation, or early traction. Each stage has fundamentally different priorities, and applying the wrong tactics wastes months. 80% of growth teams misdiagnose their stage.
Why it matters:
Stop wasting months on the wrong growth tactics for your stage.
Weekly Experiment Cycle
A repeating loop of hypothesis, test, learn, iterate. Each week you identify your riskiest assumption, design a minimum viable test, run it, collect signal, and decide next steps. The cadence compounds learning over time.
Why it matters:
Fast learning loops beat long plans. Find what works before you scale.
Human-in-the-Loop
AI proposes experiments, generates test assets, and recommends decisions — but nothing happens without your approval. You review, edit, and approve everything. The AI does the research and heavy lifting; you make the calls.
Why it matters:
Maintains quality control without bottlenecking execution.
Growth Profile
Your business context persisted across sessions — your stage, brand voice, ICP, past experiments, validated assumptions, and failed hypotheses. The AI references this for every recommendation, so advice compounds instead of resetting.
Why it matters:
No more starting from scratch every time. The system remembers and learns.
Reality-Anchored Strategy
Every recommendation combines your unique business context with live market data. No hallucinated advice. No generic playbooks. If the AI doesn't have evidence, it tells you instead of guessing.
Why it matters:
Growth plans grounded in what's actually true, not wishful thinking.
Ready to Run Your First Experiment?
Start with a free assessment. Get your stage diagnosis and first experiment plan — no credit card required.