— Talent & Leadership

Career Map

Maps realistic career moves across an organisation, showing how roles connect, which competencies support each move and what gaps people need to close.

  • Talent & Leadership
  • Traceable reasoning
  • Runs anywhere
Preview methodology

1–2 weeks → ~15 minutes

For a typical multi-document review workflow

No coding required

Input
Role profiles for a function or organisation
Output
Career map organised by role family and level
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~1–2 weeks per run

— USE CASES

What people use Career Map for

Building a career framework

Provides a map of role families and levels, with realistic upward, lateral and cross-family moves. Makes career options explicit enough to support consistent conversations about progression.

Supporting internal mobility

Identifies the shared competencies that support moves between roles and the gaps a person needs to close. Gives talent teams a grounded view of alternatives beyond promotion within the same function.

Targeting development investment

Highlights bridge roles that open access to multiple career routes, alongside highly connected and isolated roles. Supports decisions about where development provision could broaden career options.

Advising on career moves

Provides role-based evidence for discussions about potential destinations and development needs. Distinguishes what transfers between roles from what requires further development.

What it works from

  • Role profiles for a function or organisation
  • Job descriptions covering role responsibilities and competency requirements
  • Available role family and level definitions

What you get back

  • Career map organised by role family and level
  • Realistic upward, lateral and cross-family career routes
  • Shared competencies and development gaps for each mapped move
  • Overview of highly connected and isolated roles

— HOW IT BEHAVES

How Career Map 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 assessment and review evidence at once

All of your assessment and review evidence 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 talent population are written up as a document that reads like professional output, with each claim tied back to a person.

Delivered as a working table

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

Why this is expensive by hand

Career routes are often clear within a team but harder to see across functions, leaving employees and managers reliant on informal knowledge of possible moves. In practice it shows up as building a career framework: provides a map of role families and levels, with realistic upward, lateral and cross-family moves. Makes career options explicit enough to support consistent conversations about progression. The value sits in the rigour, not the typing — yet the rigour is exactly what gets traded away when there is only 1–2 weeks of capacity for it.

How this Skill produces it

As a Skill, the work is already sequenced. You bring the evidence, and the run produces career map organised by role family and level plus realistic upward, lateral and cross-family career routes. 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

  • CHROs and talent management leads
  • Succession and leadership development teams
  • Executive assessors and coaches
  • Consultants running talent reviews

Run it in Skillsize — or export it anywhere

Career Map 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)