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.
— Markets & Intelligence
Demand Signal Analyser
Reconciles live market signals for a product, service or category against fresh external research to rule on whether demand is strengthening, softening or shifting elsewhere.
- Markets & Intelligence
- Traceable reasoning
- Runs anywhere
1 week → ~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 week per run
— USE CASES
What people use Demand Signal Analyser for
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 Demand Signal Analyser 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.
Like-for-like comparison
Items are compared on the same dimensions, which makes differences meaningful rather than impressionistic.
Why this is expensive by hand
In markets & intelligence work, demand Signal Analyser 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. Done properly it is defensible; done at pace it becomes a judgement call nobody can retrace. And "properly" usually means 1 week of manual work.
How this Skill produces it
Here the same job runs as a Skill. Your material goes in; a structured, review-ready deliverable comes out, alongside a traceable record of what informed each conclusion. The criteria, ordering and review points that make the answer trustworthy are encoded in the Skill itself — which is the difference between a structured method and a prompt someone pastes in. The practical effect: 1 week 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
Demand Signal Analyser 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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