Strategy & Research

Whitespace Finder

Triangulates customer demand signals, competitor activity and emerging trends to locate underserved market spaces, then sizes each gap and judges how defensible it would be.

  • Strategy & Research
  • Traceable reasoning
  • Runs anywhere
Preview methodology

1–2 weeks ~15 minutes

Including the external research pass

No coding required

Input
Documents, exports or uploads you already hold
Output
A structured, review-ready deliverable
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~1–2 weeks per run

— USE CASES

What people use Whitespace Finder for

Repeatable client analysis

Run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work.

Faster first drafts

Turn raw source material into a working draft in minutes and spend your time on judgement instead of assembly.

Comparable results over time

Produce the same shape of output each cycle so movement is measurable rather than re-argued.

What it works from

  • Documents, exports or uploads you already hold
  • Your own criteria, framework or house method

What you get back

  • A structured, review-ready deliverable
  • A traceable record of what informed each conclusion

— HOW IT BEHAVES

How Whitespace Finder produces its result

The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.

Live external research

Current external sources are researched during the run rather than recalled from training data, and the sources travel with the output.

Composed as work product

Findings are written up as a document that reads like professional output rather than raw model text.

Criteria-based analysis

Material is assessed against explicit criteria you control, so the same standard is applied on every run.

Why this is expensive by hand

In strategy & research work, whitespace Finder is one of those tasks that looks straightforward until you are three documents deep and the details stop agreeing with each other. Repeatable client analysis is the typical trigger — run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 1–2 weeks of experienced attention.

How this Skill produces it

Skillsize turns that work into a Skill: you supply the material, and what comes back is a structured, review-ready deliverable, with a traceable record of what informed each conclusion. The judgement is built in — how items are broken up, what standard they are held to, and where the run stops for a human review. The practical effect: 1–2 weeks of manual work becomes a ~15 minutes run, held to an identical standard on the tenth engagement as on the first.

Who it's for

  • Independent consultants codifying their own methodology
  • Strategy and transformation teams standardising delivery
  • Internal advisory functions under pressure to produce faster
  • Operators who need defensible output, not a one-off chat answer

Run it in Skillsize — or export it anywhere

Whitespace Finder exports as a structured SKILL.md file and is MCP-ready, so the same method runs in ChatGPT, Claude, Copilot or your own AI products. Adapt it to your methodology, and the intelligence stays yours — not locked to one vendor.

ChatGPTClaudeCopilotAI Products (MCP)

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