Exploring new growth markets
Identifies underserved segments and unmet needs across a target market. Assesses their potential scale and competitive exposure to support a focused growth recommendation.
— Strategy & Research
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.
3–4 days → ~15 minutes
Including the external research pass
No coding required
— USE CASES
Identifies underserved segments and unmet needs across a target market. Assesses their potential scale and competitive exposure to support a focused growth recommendation.
Examines whether a proposed offering addresses a credible gap in existing provision. Distinguishes evidence of unmet demand from interest already served by competitors.
Highlights needs that competitors address poorly or overlook. Assesses where a differentiated proposition could establish a defensible position.
Connects changing customer needs and emerging trends with gaps in current market provision. Clarifies which opportunities warrant closer investigation and where the evidence remains uncertain.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Current external sources on the market being watched are researched during the run rather than recalled from training data, and every source travels with the output.
Findings on the market being watched are written up as a document that reads like professional output, with each claim tied back to a signal.
Each signal is assessed against explicit criteria you control, so the same standard is applied across the market being watched on every run.
Market gaps are easy to claim and harder to substantiate. Exploring new growth markets is the typical trigger — identifies underserved segments and unmet needs across a target market. Assesses their potential scale and competitive exposure to support a focused growth recommendation. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 3–4 days of experienced attention.
Skillsize turns that work into a Skill: you supply the material, and what comes back is market opportunity assessment report, with evidence-backed profiles of underserved segments and unmet needs. 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: 3–4 days of manual work becomes a ~15 minutes run, held to an identical standard on the tenth engagement as on the first.
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.
Researches the forces capable of materially changing an industry — technology, regulation, new entrants, shifting economics and customer behaviour — and ranks them by probability, velocity and impact with early indicators to watch.
Researches emerging growth opportunities across a sector and its adjacencies and scores each on momentum, market attractiveness, strategic fit and timing so effort goes only to the ones that are real and right for you.
Researches demand, competition, regulation and economics in a target geography or segment and rules on whether entry conditions are improving or deteriorating, showing the signals behind the call.
Combines a structured market assessment of size, growth, profitability and competitive intensity with current signal research to score opportunity, momentum, barriers and risk into one defensible attractiveness verdict.
Converts external market and technology signals into a prioritised innovation pipeline, each opportunity carrying a concept sketch, its evidence base and a build, partner or watch recommendation.
Develops a board-ready recommendation on a client’s strategic question, drawing on the firm’s knowledge, current market evidence and prior learning to compare options and make the case for a decision.