A3 Problem Solver

SkillDev tools

A3 problem-solving and status reporting skill with structured thinking and coaching support

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the A3 Problem Solver skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/business/operations/skills/a3-problem-solver/SKILL.md and read by ahel’s review.

Overview

The A3 Problem Solver skill provides comprehensive capabilities for structured problem-solving using the A3 methodology. It supports problem statement crafting, root cause investigation, countermeasure development, and PDCA-based follow-up tracking.

Capabilities

  • A3 template facilitation
  • Problem statement crafting
  • Current condition analysis
  • Target condition definition
  • Gap analysis
  • Root cause investigation
  • Countermeasure development
  • Follow-up tracking

Used By Processes

  • CI-002: A3 Problem Solving
  • LEAN-003: Kaizen Event Facilitation
  • SIX-005: Root Cause Analysis

Tools and Libraries

  • A3 templates
  • Coaching frameworks
  • Collaboration tools
  • Progress tracking systems

Usage

skill: a3-problem-solver
inputs:
  problem_type: "problem_solving"  # problem_solving | proposal | status_report
  problem_owner: "John Smith"
  coach: "Jane Doe"
  problem_description: "Customer lead time increased from 5 days to 8 days"
  current_condition:
    metric: "lead_time"
    current_value: 8
    unit: "days"
  target_condition:
    target_value: 4
    unit: "days"
    timeline: "90 days"
outputs:
  - a3_document
  - problem_statement
  - root_cause_analysis
  - countermeasure_plan
  - implementation_schedule
  - follow_up_checklist

A3 Document Sections

Left Side (Understanding)

SectionPurpose
BackgroundWhy is this important now?
Current ConditionWhat is happening today?
Target ConditionWhat should be happening?
Gap AnalysisWhat is the difference?
Root Cause AnalysisWhy does the gap exist?

Right Side (Action)

SectionPurpose
CountermeasuresWhat will we do?
Implementation PlanHow and when?
Follow-upHow will we verify?
ResultsWhat did we achieve?

Problem Statement Criteria

A good problem statement:

  • Specific - Clear and measurable
  • Observable - Based on data/facts
  • Non-judgmental - No blame
  • Gap-focused - Current vs. target
  • Bounded - Defined scope

Example

Poor: "Quality is bad" Good: "Defect rate on Line 3 increased from 2% to 5% in Q4 2025"

A3 Thinking Process

PDCA Cycle

  1. Plan - Understand problem, identify root cause, develop countermeasures
  2. Do - Implement countermeasures
  3. Check - Verify results
  4. Act - Standardize or adjust

Coaching Questions

SectionCoaching Questions
ProblemIs it measurable? Based on data?
CurrentDo you understand the process?
TargetIs it realistic? Stretch enough?
Root CauseDid you verify with data?
CountermeasuresDo they address root causes?
ImplementationWho, what, when?

Integration Points

  • Project tracking systems
  • Knowledge management
  • Coaching platforms
  • Performance dashboards

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
a3-problem-solver
Source
github.com/a5c-ai/babysitter