Skillsize

— Operations & Process

Value-stream / waste analysis

Classifies each process step as value-add or waste, quantifies removable effort, charts the stream, and writes a savings case with quick wins.

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

1 week → ~10 minutes

For a full population, not a sample

No coding required

Input
A step-level view of the process with time or effort per step
Output
Value-add / non-value-add classification per step with waste type
Runs in
Skillsize · ChatGPT · Claude · Copilot
Export
SKILL.md · MCP
Time saved
~1 week per run

— USE CASES

What people use Value-stream / waste analysis for

Lean and waste analysis

Quantify how much of a process's effort is genuinely removable, step by step.

Building a savings case

Convert a step table into a numbers-backed argument for change.

Prioritising quick wins

Identify the smallest changes that release the most effort first.

What it works from

  • A step-level view of the process with time or effort per step
  • Your value-add definitions
  • Any cost or FTE conversion you use

What you get back

  • Value-add / non-value-add classification per step with waste type
  • A step-by-step chart of the stream
  • A savings case: addressable effort, top wastes, quick wins

— HOW IT BEHAVES

How Value-stream / waste analysis 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 end-to-end process

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

The pattern charted

Movement across the end-to-end process is visualised from the computed data, so the trend is legible at a glance.

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.

Each process step enriched in place

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

Why this is expensive by hand

Waste in a process is obvious to the people doing it and invisible in the numbers. Lean and waste analysis is the typical trigger — quantify how much of a process's effort is genuinely removable, step by step. 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.

How this Skill produces it

Here the same job runs as a Skill. Your material goes in; value-add / non-value-add classification per step with waste type comes out, alongside a step-by-step chart of the stream. 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: 1 week of manual work becomes a ~10 minutes run, held to an identical standard on the tenth engagement as on the first.

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

Value-stream / waste 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.

ChatGPTClaudeCopilotAI Products (MCP)

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