— Organisation & Workforce

Gap Analysis

Compares current workforce capabilities with future requirements to identify evidence-backed gaps, assess their size and priority, and recommend where to build, buy, borrow or redeploy capability.

  • Organisation & Workforce
  • Traceable reasoning
  • Runs anywhere
Preview methodology

1–2 weeks → ~15 minutes

For a typical multi-document review workflow

No coding required

Input
Current skills and capability records
Output
Required capabilities linked to supporting quotations
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~1–2 weeks per run

— USE CASES

What people use Gap Analysis for

Testing strategy readiness

Identifies the capabilities a strategy requires and assesses how far current evidence supports them. Provides a prioritised view of shortfalls that could constrain delivery.

Assessing operating model readiness

Compares existing capabilities with the demands of a target operating model. Shows where development, recruitment, external support or redeployment can address the most important gaps.

Directing workforce investment

Gives leaders an evidence-backed basis for choosing which capability gaps deserve investment. Sets out gap size, priority and recommended resourcing options alongside a practical closure plan.

Reviewing capability evidence

Clarifies which future requirements are supported by current records and which remain uncertain. Makes evidence limitations visible so that missing documentation is not mistaken for a confirmed capability gap.

What it works from

  • Current skills and capability records
  • Individual and team profiles
  • Capability audits and team assessments
  • Strategy and future-state documents protection

What you get back

  • Required capabilities linked to supporting quotations
  • Assessment of current capability against future requirements
  • Evidence-backed gaps with size and priority
  • Build, buy, borrow or redeploy recommendations purporting

— HOW IT BEHAVES

How Gap Analysis produces its result

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

Whole sets of org data and role documentation at once

All of your org data and role documentation is processed as one set, so patterns across documents surface instead of being read one file at a time.

Composed as work product

Findings on the organisation in scope are written up as a document that reads like professional output, with each claim tied back to a role.

Delivered as a working table

The roles land as a clean table you can sort, filter or drop straight into the deliverable.

Why this is expensive by hand

Workforce plans often describe an ambitious future without showing whether the organisation has the capabilities to deliver it. In practice it shows up as testing strategy readiness: identifies the capabilities a strategy requires and assesses how far current evidence supports them. Provides a prioritised view of shortfalls that could constrain delivery. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 1–2 weeks of senior time whenever it comes round.

How this Skill produces it

Here the same job runs as a Skill. Your material goes in; required capabilities linked to supporting quotations comes out, alongside assessment of current capability against future requirements. What sits between input and output is the codified method: thresholds, sequencing and the points where a human confirms a call — all of it visible and editable in the Skill. In effect, 1–2 weeks of senior time compresses into ~15 minutes — and the output is comparable across clients, quarters and colleagues instead of shaped by whoever ran it.

Who it's for

  • Org design and workforce planning leads
  • COOs and functional leaders reshaping teams
  • Transformation consultants sizing people impact
  • HR business partners supporting redesign

Run it in Skillsize — or export it anywhere

Gap Analysis 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)