Standards Integration Status
At the start of each Problem Definition session, check knowledge-mcp availability and display one of:
When Connected:
=================================================================== PROBLEM DEFINITION SESSION =================================================================== ✓ **Standards Database:** Connected Available resources: - MIL-STD-882E severity categories (Catastrophic/Critical/Marginal/Negligible) - AIAG-VDA FMEA severity scale (1-10) - Industry-specific problem definition guidance Severity classification lookup available after describing problem impact. Use `/lookup-standard [query]` for manual standards queries at any point. ===================================================================
When Unavailable:
=================================================================== PROBLEM DEFINITION SESSION =================================================================== ⚠️ **Standards Database:** Unavailable Problem Definition will proceed using standard 5W2H + IS/IS NOT methodology. Severity classification available from embedded reference data: - ✓ MIL-STD-882E severity categories (embedded) - ✓ AIAG-VDA severity scale (embedded) Not available without standards database: - ✗ Detailed industry-specific severity criteria - ✗ Regulatory context for severity classification To enable standards integration, ensure knowledge-mcp is configured. ===================================================================
Important: Display status banner ONCE at session start. Do NOT repeat at each elicitation step.
Problem Definition for RCCA
Problem Definition (D2 in 8D methodology) transforms scattered observations about a failure, defect, or nonconformance into a precise, bounded statement that enables effective root cause analysis.
Core Principle
Describe what went wrong without inferring cause or prescribing solution.
The problem definition answers: "What is the deviation between expected and actual?" — not "why did it happen" or "how do we fix it."
Workflow
- •
Assess available information — Review what the user has provided. Identify which 5W2H elements are known vs. missing.
- •
Elicit missing data — For each gap, invoke
AskUserQuestionusing the structured format below. Ask 2-3 questions maximum per turn to avoid overwhelming the user. - •
Apply 5W2H framework — Systematically populate: What, Where, When, Who, How, How Much. Deliberately exclude Why (that's for root cause analysis). See references/5w2h-framework.md.
- •
Sharpen boundaries with IS/IS NOT — For each 5W2H dimension, explicitly state what the problem IS and IS NOT. The contrast reveals investigation clues. See references/is-is-not-analysis.md.
- •
Quantify the gap — Express deviation numerically: "Measured 15 in-lbs; specification requires 22 ± 2 in-lbs" not "torque was low."
Optional Severity Classification Lookup
After quantifying impact/consequences (How Much), offer:
You've described the problem extent and impact. Would you like me to search for severity classification scales from industry standards (MIL-STD-882E, AIAG-VDA) to formally classify this problem's severity?
This provides:
- •
Standardized severity levels with definitions
- •
Domain-specific criteria (safety-critical, quality, financial impact)
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Consistent severity language for FMEA and corrective action prioritization
- •
Severity classification flows automatically to 5 Whys and FMEA analysis
- •
Yes: Query standards database for severity classification scales
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No: Proceed with problem statement synthesis
Your choice:
Query behavior:
- •If user says yes: Execute
knowledge_searchwith query "severity classification scale [domain inferred from problem] impact consequences", filter by domain="rcca" or "fmea" - •If user says no: Note preference, do NOT ask again for severity lookup in this session
- •If MCP unavailable: Skip this prompt entirely (banner already warned user at session start)
- •Neutral phrasing, not recommendation
Result presentation (if queried):
- •
Show top 2-3 matching severity scales with brief domain labels:
- •MIL-STD-882E (safety-critical systems)
- •AIAG-VDA FMEA (quality/manufacturing)
- •
User selects scale, then display full definitions
- •
User picks applicable level based on problem description
- •
Include in final output with citation: "Severity: 7 (AIAG-VDA FMEA Handbook (2019), Table 5.1)"
- •Synthesize problem statement — Combine findings into a single statement using the template:
[Object] exhibited [defect/failure mode] at [location] during [phase/operation], affecting [extent/quantity], detected by [method].
- •Validate against pitfalls — Review statement for embedded cause, embedded solution, vagueness, or blame language. See references/pitfalls.md.
Elicitation: Using AskUserQuestion
When information is missing, invoke AskUserQuestion to gather data systematically. Do not guess or assume — elicit from the user.
Question Format
Present questions using this structure:
**[5W2H Category]: [Element]** [Question text — specific, closed-ended where possible] _Context: [Brief explanation of why this matters for problem definition]_ Examples of useful answers: - [Concrete example 1] - [Concrete example 2]
Question Sequencing
Priority order for elicitation:
- •What (Object) — Must identify the specific item first
- •What (Defect) — Must characterize the failure mode
- •How Much (Extent) — Critical for scoping and prioritization
- •Where / When — Bounds the investigation
- •How (Detection) — Validates data source reliability
- •Who — Typically least critical, often implicit
Example Questions
What (Object):
What is the specific part number, product, or system exhibiting the problem?
Context: Precise identification prevents confusion with similar items.
Examples of useful answers:
- •"Connector housing P/N 12345-A, Rev C"
- •"Model X Controller Board, serial range SN2024-001 through SN2024-500"
What (Defect):
What specifically is wrong? Describe the observable defect, failure mode, or deviation from specification.
Context: Technical, measurable descriptions enable root cause analysis. Avoid subjective terms like "bad" or "poor quality."
Examples of useful answers:
- •"Cracked at locking tab; crack length approximately 3mm"
- •"Output voltage 4.2V; specification requires 5.0V ± 0.1V"
How Much (Extent):
How many units are affected? What is the failure rate or reject percentage?
Context: Quantification enables prioritization and verifies corrective action effectiveness.
Examples of useful answers:
- •"12 of 400 units inspected (3%)"
- •"3 field failures from population of ~2,000 deployed units"
IS/IS NOT Clarification:
You mentioned the problem occurs at Station 3. Does this problem occur at Stations 1 or 2? Are other similar parts from those stations unaffected?
Context: Understanding what IS NOT affected helps narrow root cause investigation.
Elicitation Rules
- •Ask, don't assume: If data is missing, ask. Do not infer or fabricate details.
- •Batch questions: Group 2-3 related questions per turn. Do not ask all questions at once.
- •Accept uncertainty: If user doesn't know, record as "Unknown — requires investigation" rather than leaving blank.
- •Probe vague answers: If user says "several units," ask for specific count. If user says "recently," ask for date.
- •Avoid leading questions: Do not embed assumed cause in questions (e.g., avoid "Was the torque too high?").
For complete question templates across all 5W2H categories, see references/question-bank.md.
Quick Reference: 5W2H Questions
| Element | Question | Example |
|---|---|---|
| What (Object) | What item has the problem? | Connector housing |
| What (Defect) | What is wrong with it? | Cracked at locking tab |
| Where (Geographic) | Where was it observed? | Final assembly station 3 |
| Where (On object) | Where on the item? | Locking tab area |
| When (Calendar) | When first observed? | Week 12 production |
| When (Lifecycle) | When in process sequence? | During torque verification |
| Who | Who detected/reported it? | QC inspector |
| How | How was it detected? | Visual inspection |
| How Much | What is the extent? | 12 of 400 units (3%) |
Output Format
For structured output, generate:
- •5W2H + IS/IS NOT table — Systematic data capture
- •Problem statement — Single synthesized statement
- •Severity classification — If user opted for severity lookup
Example output with severity:
=============================================================================== PROBLEM DEFINITION SUMMARY =============================================================================== PROBLEM STATEMENT: Connector housing P/N 12345-A, Rev C exhibited cracked locking tabs (crack length 3mm) at final assembly station 3 during torque verification, affecting 12 of 400 units (3%), detected by visual inspection. SEVERITY CLASSIFICATION: Severity: 7 (AIAG-VDA FMEA Handbook (2019), Table 5.1) - Product inoperable, loss of primary function - Customer very dissatisfied - Justification: 3% failure rate with complete loss of connector locking function 5W2H ANALYSIS: | Element | IS | IS NOT | |---------|----|----- ---| | What (Object) | Connector housing P/N 12345-A, Rev C | Other connector types | | What (Defect) | Cracked locking tab, 3mm length | Fully severed | | Where | Final assembly station 3 | Stations 1, 2 | | When | Week 12 production | Prior weeks | | How Much | 12 of 400 units (3%) | All units | ===============================================================================
Cross-tool context available for downstream skills: This output, including severity classification, is available to 5 Whys and FMEA skills when invoked in the same RCCA session.
See references/examples.md for worked examples.
Validation Checklist
Before finalizing, verify:
- • No assumed cause embedded ("due to...", "caused by...")
- • No solution embedded ("need to change...", "should replace...")
- • Defect described with measurable terms
- • Extent quantified (count, percentage, rate)
- • Detection method stated
- • Scope bounded (what IS affected, what IS NOT)
Manual Commands
/lookup-standard
Query the knowledge base for RCCA-related standards information at any point in problem definition.
Syntax: /lookup-standard [natural language query]
Examples:
- •
/lookup-standard MIL-STD-882E severity classification catastrophic critical definitions - •
/lookup-standard AIAG-VDA severity rating scale quality problems customer impact - •
/lookup-standard how to classify financial impact in problem definition - •
/lookup-standard problem statement examples from 8D methodology - •
/lookup-standard IS IS NOT analysis best practices - •
/lookup-standard difference between MIL-STD severity categories and AIAG-VDA scale
Response Format:
## Standards Lookup: [query] ### Result 1 (94% relevant) **Source:** MIL-STD-882E, Section 3.1 [Content excerpt with relevant context] ### Result 2 (89% relevant) **Source:** AIAG-VDA FMEA Handbook (2019), Section 2.4 [Content excerpt with relevant context] --- Showing 3 of 8 results. Say "show more" for additional results.
When to Use:
- •Need detailed severity classification definitions beyond embedded scales
- •Checking regulatory requirements for specific industries (automotive, aerospace, medical)
- •Understanding industry-standard problem definition terminology
- •Validating IS/IS NOT boundaries against documented examples
- •Comparing different severity classification systems
No Results Response:
## Standards Lookup: [query] No direct matches found for "[query]". Did you mean: - "severity classification safety systems" - "problem definition 8D methodology" - "IS IS NOT analysis examples" Try refining with specific standard names (MIL-STD-882, AIAG-VDA, ISO) or broader terms.
Availability: Requires knowledge-mcp connection. If unavailable:
Standards database not available. Use embedded reference data in
references/severity-scales.md.