— Operations & Process

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.

  • Operations & Process
  • Traceable reasoning
  • Runs anywhere
Preview methodology

1–2 weeks → ~15 minutes

For a typical multi-document review workflow

No coding required

Input
Process scope and diagnostic boundaries
Output
Process activity inventory covering owners, systems, effort and delays
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~1–2 weeks per run

— USE CASES

What people use Process diagnostic for

Persistent delays and rework

Identifies bottlenecks, duplicated activity and weak handoffs behind recurring process problems. Provides evidence-backed findings that focus improvement discussions on specific causes rather than general dissatisfaction.

Unclear accountability and controls

Examines ownership and control gaps across the process. Produces a severity-rated findings register that makes weaknesses visible and supports clear responsibility for improvements.

Competing demands for improvement

Prioritises potential improvements by impact against effort. Provides an owner-assigned backlog with a 30/60/90-day planning horizon to support practical resourcing decisions.

An independent process review

Draws together documented procedures and accounts of how work happens in practice. Produces a scoped diagnostic that gives stakeholders a shared basis for assessing process performance.

What it works from

  • Process scope and diagnostic boundaries
  • Standard operating procedures and process documentation
  • Interview notes and walkthrough records
  • Workflow screenshots and supporting process evidence

What you get back

  • Process activity inventory covering owners, systems, effort and delays
  • Diagnostic assessment of bottlenecks, duplication, handoff failures and control gaps
  • Findings register with severity ratings and supporting evidence
  • Improvement backlog prioritised by impact and effort, with owners and 30/60/90-day horizons

— HOW IT BEHAVES

How Process diagnostic 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 process documentation and run data at once

All of your process documentation and run data 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 end-to-end process are written up as a document that reads like professional output, with each claim tied back to a process step.

Criteria-based analysis of every process step

Each process step is assessed against explicit criteria you control, so the same standard is applied across the end-to-end process on every run.

Structured extraction from process documentation and run data

Facts and fields are lifted out of process documentation and run data and held in a consistent shape, process step by process step.

Why this is expensive by hand

Process problems often sit across documents, systems and team boundaries, making it difficult to distinguish isolated frustrations from structural weaknesses. Persistent delays and rework is the typical trigger — identifies bottlenecks, duplicated activity and weak handoffs behind recurring process problems. Provides evidence-backed findings that focus improvement discussions on specific causes rather than general dissatisfaction. Get it right and the conclusion holds up in the room; get it rushed and it gets picked apart. Either way it costs roughly 1–2 weeks of experienced attention.

How this Skill produces it

Skillsize turns that work into a Skill: you supply the material, and what comes back is process activity inventory covering owners, systems, effort and delays, with diagnostic assessment of bottlenecks, duplication, handoff failures and control gaps. 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 ~15 minutes, no drift between runs, and every conclusion traceable back to the evidence behind it.

Who it's for

  • Operations and continuous improvement leads
  • Transformation and automation teams
  • Service delivery and shared services managers
  • Consultants running process diagnostics

Run it in Skillsize — or export it anywhere

Process diagnostic 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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