── ── Startups

Ansoff Matrix

Every growth option a firm has falls into one of four quadrants defined by two axes: existing vs. new product, and existing vs. new market. Risk rises as unknowns multiply: selling your existing product to your existing market adds zero unknowns; diversifying (new product + new market) adds two unknowns simultaneously, compounding risk roughly fourfold. The matrix's job is prioritization…

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How it works

Produce a Growth Direction Analysis — a completed matrix with mapped options, feasibility scores, and a prioritized growth agenda.

Step 1: Define Current Product-Market Baseline. State what your "existing products" are and who your "existing customers" are. If the team disagrees on what counts as the existing market, resolve that before assigning quadrants.

Step 2: Enumerate Growth Options by Quadrant. At least 3 specific options per quadrant. "Enter Asia" is not an option; "launch English-language SaaS in Japan targeting mid-market manufacturing firms" is.

When to use it

  • user says 'where should we grow next', 'should we enter a new market', 'thinking about diversifying', 'new product vs new market', 'growth strategy', 'adjacent expansion', 'Ansoff', or is spreading resources across too many directions at once

When not to use it

When the decision is routine and reversible, applying a formal method costs more than it returns.

Worked example

An AI Startup's Growth Options (2024–2026)

By 2024–2026, the fastest-growing category of software company was the AI-native startup that had reached early product-market fit with a chat or copilot product and then faced the classic Ansoff question: where to grow next, when capital was abundant but compute costs and AI-native competition were both rising fast. This example uses OpenAI's ChatGPT-era arc as the anchor because its major moves in this window were widely reported and publicly announced — but the same mapping applies to any AI startup deciding between deepening current…

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$npx skills add deciqAI/knowledge-skills
View Ansoff Matrix source on GitHub →

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