Maiju in Action — Live Demo

From Idea to Strategy. In Minutes.

A Lean Six Sigma practitioner walks in with a business idea. Maiju — powered by AI — runs a full professional market research engagement and delivers a 12-slide strategy deck.

Research plan → parallel subagent research → board-ready deliverable

View the Strategy Deck →← Jere's World

The Methodology

How Maiju works with AI

Not just faster — structurally better. A hypothesis-first, evidence-driven approach that matches what top-tier strategy firms would deploy for a market entry assessment.

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Phase 01Research plan in professional strategy format

The Brief

The client — a Lean Six Sigma Master Black Belt with a software idea — walked into the room. Rather than jumping to answers, Maiju first decomposed the central question into a structured issue tree and defined 6 testable hypotheses. A full research plan was written before a single data point was collected.

Output:LSS-Software-Research-Plan.md

Issue tree · 6 hypotheses · 5 workstreams defined

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Phase 025 AI subagents fired simultaneously

Parallel Research

Five independent research workstreams ran in parallel — exactly as a top-tier strategy firm would deploy junior analysts. Market sizing, competitive intelligence, customer pain points, technology disruption, and business model benchmarks were all investigated simultaneously.

Output:Workstreams A–E (parallel execution)

Market sizing · Competitive landscape · Customer intelligence · AI disruption · Business models

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Phase 0312-slide strategy deck

The Deliverable

Findings were synthesized into a board-ready 12-slide strategy presentation — hypothesis validation, competitive white space analysis, a customer profile, an AI opportunity assessment, three strategic options, and a clear recommendation with 90-day go-to-market roadmap.

Output:LSS-Software-Strategy.pptx

12 slides · Strategic recommendation · Go-to-market roadmap

“Maiju doesn't replace thinking. She starts at 70%, focuses her energy on judgment and synthesis — and delivers in minutes what used to take days.”

— The AI Advantage

Phase 01 — The Brief

The Research Plan

Before a single data point was collected, a full professional research plan was written — with an issue tree, six testable hypotheses, and five parallel workstreams.

Central Question

“Is there a defensible, monetizable market opportunity for a new LSS statistical analysis software — and if so, what does the winning product and strategy look like?”

Analogous to: “New Market Entry Evaluation” · “Build-vs-Buy Software Assessment”

1The Issue Tree

Every research activity must answer a branch of this tree. No data collected without a hypothesis to test.

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Is the market attractive?

›Market size & CAGR
›Structural trends
›AI & no-code wave

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Is the landscape penetrable?

›Incumbent entrenchment
›White spaces
›Switching costs

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Is the customer willing to pay?

›Who is the buyer?
›Current pain points
›WTP signals

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Is the client uniquely positioned?

›Unfair advantage
›Distribution channel
›Capability gaps

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What does the winning strategy look like?

›MVP scope
›Business model
›Go-to-market

26 Starting Hypotheses

#	Hypothesis	Confidence	Priority
H1	LSS training market is growing globally, driven by manufacturing, healthcare & process industries	Medium	High
H2	Current legacy tools are expensive, desktop-heavy, and not designed for learning contexts	High	High
H3	There is no dominant browser-based, AI-assisted LSS statistical tool on the market	Medium	Critical
H4	Training providers are the most leverageable go-to-market channel (bundled software + training)	Medium	High
H5	Willingness to pay is higher in enterprise training contexts than individual practitioner contexts	Low	Medium
H6	AI-assisted interpretation of statistical outputs is the key differentiator opportunity	Medium	Critical