Repeatable client analysis
Run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work.
— Operations & Process
Scores every stakeholder on influence, attitude and impact, classifies them from champion to blocker, and designs the engagement plan with message and channel for each.
1 week → ~25 minutes
For a full population, not a sample
No coding required
— USE CASES
Run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work.
Turn raw source material into a working draft in minutes and spend your time on judgement instead of assembly.
Produce the same shape of output each cycle so movement is measurable rather than re-argued.
— HOW IT BEHAVES
The mechanics behind this specific template — what it reads, what it calculates, and where a human stays in the loop.
Every row of your table is processed on the same basis, however long the table is.
The pattern is visualised from the computed data, so the trend is legible at a glance.
Findings are written up as a document that reads like professional output rather than raw model text.
Each row gains derived columns from the analysis, keeping the source data and the judgement side by side.
Change readiness & adoption risk assessor is routine in name only: the inputs are messy, the standard is unwritten, and two people rarely reach the same answer. Repeatable client analysis is the typical trigger — run the same structured analysis for every client or business unit so quality no longer depends on who picked up the work. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 1 week of experienced attention.
Skillsize turns that work into a Skill: you supply the material, and what comes back is a structured, review-ready deliverable, with a traceable record of what informed each conclusion. 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. Net effect: 1 week down to ~25 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.
Change readiness & adoption risk assessor 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.
Automation opportunity map
Maps team or function activities to automation potential, computing addressable effort and bucketing opportunities into a prioritised roadmap.
Control failure → incident RCA pattern engine
Joins control test results to incident logs by process to show where control failures are actually producing incidents, grouped by systemic weakness with residual risk quantified.
Process diagnostic
Inventories every process step with its owner, system, effort and wait time, tests each against bottleneck, duplication, handoff and control-gap lenses, and returns a prioritised 30/60/90 improvement backlog.