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ai-process-assessment:discovering-processes

Map business processes through a four-round interview sequence.

Updated May 9, 2026
Search Tags:#automation#interview#baseline#process discovery#operational excellence#evidence-gated
One-click install
npx skills add https://github.com/grandaha/ai-process-assessment --skill ai-process-assessment-discovering-processes
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ai-process-assessment:discovering-processes
Source: https://github.com/grandaha/ai-process-assessment/tree/main/skills/discovering-processes
Command: npx skills add https://github.com/grandaha/ai-process-assessment --skill ai-process-assessment-discovering-processes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the common failure of process discovery where value claims are based on intuition rather than evidence, ensuring every process is mapped with verified metrics and structural challenges before automation.

Core Features & Use Cases

  • Structured Interview Sequence: Executes a four-round interview process (Sponsor, Operator, Adjacent, Clarification) to triangulate process reality.
  • Deterministic Baseline Capture: Enforces the collection of volume, cycle time, error rates, and FTE effort for every process.
  • Challenge Hypothesis: Forces a second-order check on whether the process structure itself is the constraint, preventing the automation of broken processes.

Quick Start

Run the discovering processes skill to begin the evidence-gathering phase for the current engagement folder.

Frequently Asked Questions about ai-process-assessment:discovering-processes

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I capture baseline metrics for business process mapping?▼

Baseline metrics for process mapping are captured through a structured four-round interview sequence that triangulates process reality, enforcing the collection of volume, cycle time, error rates, and FTE effort.

What is evidence-based process discovery for automation?▼

Evidence-based process discovery is an approach that ensures every process is mapped with verified metrics and structural challenge hypotheses before automation, preventing value claims based purely on intuition.

How do I prevent automating broken business processes?▼

To prevent automating broken processes, a challenge hypothesis forces a second-order check on whether the process structure itself is the constraint, verifying the process is sound before automation begins.

Do I need specific files to start an operational excellence interview process?▼

Yes, the operational excellence interview process requires the presence of tech-inventory.md and engagement-specific model files to enforce gate conditions and ensure deterministic, auditable data integrity.

What is the best way to verify process reality before an AI discovery engagement?▼

The best way to verify process reality is executing a four-round interview sequence—Sponsor, Operator, Adjacent, and Clarification—to map business processes and capture deterministic, auditable process data.

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