Organisation & Workforce

Talent Flight Risk Radar

Judgements use only what the row says and no personal identifiers beyond the name and department leave the table.

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

2–3 weeks ~25 minutes

For a full population, not a sample

No coding required

Input
The sources, accounts or portfolio to keep under watch
Output
A current view of what changed this cycle, prioritised
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~2–3 weeks per run

— USE CASES

What people use Talent Flight Risk Radar for

A picture that stays current

Because it runs on a cycle, the view reflects this week rather than the last time someone had capacity to look.

Only what has changed

Each run separates genuine movement from noise, so attention goes to the developments that matter.

One consistent basis over time

The same criteria are applied every cycle, so trends are measurable instead of re-argued.

Alerts rather than reports nobody reads

Material developments arrive as a short, prioritised list with the recommended action attached.

What it works from

  • The sources, accounts or portfolio to keep under watch
  • Your criteria, thresholds and priorities
  • The cycle and who should receive the output

What you get back

  • A current view of what changed this cycle, prioritised
  • The movement worth acting on, with the evidence behind it
  • A comparable record across cycles

— HOW IT BEHAVES

How Talent Flight Risk Radar produces its result

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

Every row of the risk universe in scope

Each row of your export is processed on the same basis, so no risk is skipped however long the table is.

The pattern charted

Movement across the risk universe in scope is visualised from the computed data, so the trend is legible at a glance.

Composed as work product

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

Each risk enriched in place

Derived columns are added row by row, keeping your source data and the judgement about each risk side by side.

Roll-up alongside risk-level detail

Detail rows are summarised into the grouped view of the risk universe in scope without losing the underlying risks.

Why this is expensive by hand

Talent Flight Risk Radar runs as a standing capability rather than a one-off piece of analysis. In practice it shows up as a picture that stays current: because it runs on a cycle, the view reflects this week rather than the last time someone had capacity to look. It is the kind of work that decides whether a recommendation survives scrutiny — and the kind that quietly eats 2–3 weeks of senior time whenever it comes round.

How this Skill produces it

Skillsize turns that work into a Skill: you supply the material, and what comes back is a current view of what changed this cycle, prioritised, with the movement worth acting on, with the evidence behind it. 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. The practical effect: 2–3 weeks of manual work becomes a ~25 minutes run, held to an identical standard on the tenth engagement as on the first.

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

Talent Flight Risk Radar 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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