Aligning learning with strategy
Translates strategic priorities into required skills and compares them with the capabilities documented across the team. Provides a prioritised learning plan focused on gaps that matter to delivery.
— Talent & Leadership
Identifies gaps between a team’s existing skills and strategic priorities, producing a prioritised curriculum of named courses, modules and on-the-job development interventions.
1–2 weeks → ~25 minutes
For a typical multi-document review workflow
No coding required
— USE CASES
Translates strategic priorities into required skills and compares them with the capabilities documented across the team. Provides a prioritised learning plan focused on gaps that matter to delivery.
Gives decision-makers a clear view of priority development needs, supported by named courses and modules from LinkedIn Learning, Coursera, edX and relevant provider catalogues.
Identifies where new responsibilities demand skills beyond those evidenced in team profiles. Combines formal learning options with on-the-job interventions in a curriculum tailored to those needs.
Replaces generic course lists with learning recommendations linked to documented capability gaps. Makes the rationale for each development priority clear to team leaders and learning sponsors.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
A coverage pass shows which skills are supported by evidence and which are not — including requirements with nothing behind them and material that supports nothing.
What the role or function in scope requires and what it currently has are set against each other skill by skill, so each gap is quantified rather than described in general terms.
Skills and requirements are read out of role documentation and capability evidence as structured data rather than inferred from job titles.
All of your role documentation and capability evidence is processed as one set, so patterns across documents surface instead of being read one file at a time.
Current external sources on the role or function in scope are researched during the run rather than recalled from training data, and every source travels with the output.
Findings on the role or function in scope are written up as a document that reads like professional output, with each claim tied back to a skill.
Training budgets are difficult to target when evidence of team capability sits across CVs and professional profiles, while strategic priorities describe ambitions rather than specific skills. In practice it shows up as aligning learning with strategy: translates strategic priorities into required skills and compares them with the capabilities documented across the team. Provides a prioritised learning plan focused on gaps that matter to delivery. 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.
Skillsize turns that work into a Skill: you supply the material, and what comes back is team skills profile grounded in available evidence, with strategic skills requirements. 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. Net effect: 1–2 weeks down to ~25 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Training Needs 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.
Builds evidence-backed employee skills profiles within HR systems, mapping documented experience to the organisation’s skills catalogue and assigning proficiency levels using consistent rules.
Assesses how clearly people explain their technical work against a consistent four-level rubric, producing a human-approved report with quoted evidence behind every score.
Reveals how organisational culture is lived through anonymous employee accounts, producing an evidence-backed diagnostic of shared themes, differences between functions and gaps between values and practice.
Turns a high-potential's assessment evidence into an acceleration plan weighted to real experience and exposure, naming the stretch assignments, mentors and programmes that will compound fastest.
Builds a calibrated, reusable benchmark from source material so every later screen, shortlist or review is graded against the same bar.
Screens candidate evidence against a saved Blueprint, applying the same calibrated bar and traceable reasoning to every applicant.