6D Foraging Methodology™ — Observable Properties Framework
"What gets measured becomes manageable. What gets observed becomes measurable."
Version: 1.0 Created: November 27, 2025 Status: Production Framework
Executive Summary
The 6D Foraging Methodology™ identifies unmeasured costs across six dimensions of business impact. This document provides the Observable Properties Framework — the concrete signals, metrics, trigger keywords, and cascade pathways that make each dimension measurable and actionable.
The Gap This Fills:
- Before: Abstract categories (Customer, Employee, Revenue, etc.)
- After: Specific observables, trigger keywords, data sources, and cascade maps
Integration with Cormorant Foraging: Each dimension is analyzed through three lenses:
- Sound (ChirpIQX): Urgency — How immediate is the signal?
- Space (PerchIQX): Scope — How widespread is the impact?
- Time (WakeIQX): Trajectory — Is it improving or degrading?
Framework Architecture
┌─────────────────────────────────────────────────────────────────┐
│ 6D IMPACT METHODOLOGY™ │
│ Observable Properties Framework │
├─────────────────────────────────────────────────────────────────┤
│ │
│ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐
│ │CUSTOMER │ │EMPLOYEE │ │ REVENUE │ │REGULATORY│ │ QUALITY │ │OPERATION│
│ │ D1 │ │ D2 │ │ D3 │ │ D4 │ │ D5 │ │ D6 │
│ └────┬────┘ └────┬────┘ └────┬────┘ └────┬────┘ └────┬────┘ └────┬────┘
│ │ │ │ │ │ │
│ └───────────┴───────────┴─────┬─────┴───────────┴───────────┘
│ │
│ ┌───────▼───────┐
│ │ 3D LENS │
│ ├───────────────┤
│ │ Sound (Urgency)│
│ │ Space (Scope) │
│ │ Time (Trend) │
│ └───────┬───────┘
│ │
│ ┌───────▼───────┐
│ │ CASCADE MAP │
│ │ + MULTIPLIER │
│ └───────────────┘
│ │
└─────────────────────────────────────────────────────────────────┘Dimension 1: CUSTOMER IMPACT
Core Question: How does this problem affect the people who pay us?
Observable Signals
| Signal Type | Observable | Data Source | Detection Speed |
|---|---|---|---|
| Immediate | Support ticket spike | Helpdesk (Zendesk, ServiceNow) | Hours |
| Behavioral | Renewal hesitation | Sales notes, CRM | Days-Weeks |
| Sentiment | NPS/CSAT score drop | Survey platforms | Weekly |
| Engagement | Product usage decline | Analytics (Mixpanel, Amplitude) | Days |
| Escalation | Exec-level complaints | Email, meeting requests | Hours |
| Silent | Reduced feature adoption | Product analytics | Weeks |
| Churn | Cancellation requests | Billing/CRM | Immediate |
| Trust | Reference refusals | Sales team feedback | Variable |
Trigger Keywords
High Urgency (Sound = 8-10):
"unacceptable" "breach of contract" "legal action"
"canceling" "considering alternatives" "escalating"
"demand refund" "not what we signed up for"Medium Urgency (Sound = 4-7):
"disappointed" "concerned about" "need clarification"
"frustrating" "expected better" "reconsidering"
"will not renew" "shopping around"Low Urgency / Early Warning (Sound = 1-3):
"just wondering" "any updates on" "is this normal"
"thought it would be" "not urgent but" "for future reference"Metrics
| Metric Type | Metric Name | Calculation | Target |
|---|---|---|---|
| Leading | Support ticket velocity | Tickets/day vs 30-day avg | <120% of baseline |
| Leading | NPS trend | Week-over-week delta | Positive or stable |
| Leading | Feature adoption rate | New feature usage % | >30% within 30 days |
| Lagging | Customer churn rate | Lost customers / Total | <5% annually |
| Lagging | Customer lifetime value | Revenue × Retention period | Increasing |
| Lagging | Net revenue retention | (Start + Expansion - Churn) / Start | >100% |
Cascade Pathways
CUSTOMER IMPACT
│
├──────────────────────────────────────┐
▼ ▼
REVENUE EMPLOYEE
(Lost renewals, (Morale hit from
reduced expansion, angry customers,
refund requests) support burnout)
│ │
▼ ▼
OPERATIONAL QUALITY
(Resources diverted (Rushed fixes,
to retention efforts) corners cut)
│
▼
REGULATORY
(Breach of SLA,
contract violations)Primary Cascade: Customer → Revenue (70% of cases) Secondary Cascade: Customer → Employee (50% of cases) Tertiary Cascade: Customer → Regulatory (20% of cases, but highest severity)
Multiplier Factors
| Factor | Low (1.5×) | Medium (3×) | High (6×+) |
|---|---|---|---|
| Customer Size | Small account | Mid-market | Enterprise/Strategic |
| Contract Term | Month-to-month | Annual | Multi-year |
| Reference Value | Unknown | Industry peer | Marquee logo |
| Relationship Length | <1 year | 1-3 years | >3 years |
| Expansion Potential | Maxed out | Moderate | Significant |
3D Scoring (Sound × Space × Time)
| Lens | Score 1-3 | Score 4-6 | Score 7-10 |
|---|---|---|---|
| Sound (Urgency) | Feedback survey | Direct complaint | Legal threat |
| Space (Scope) | One customer | Customer segment | Market-wide |
| Time (Trajectory) | First occurrence | Recurring pattern | Accelerating trend |
Dimension Score = Sound × Space × Time ÷ 10
Dimension 2: EMPLOYEE IMPACT
Core Question: How does this problem affect the people who work for us?
Observable Signals
| Signal Type | Observable | Data Source | Detection Speed |
|---|---|---|---|
| Immediate | Overtime hours spike | Timesheets, HRIS | Daily |
| Behavioral | Meeting no-shows | Calendar analytics | Days |
| Sentiment | Engagement score drop | Pulse surveys | Weekly |
| Productivity | Output decline | Project management tools | Weeks |
| Turnover | Resignation notices | HR system | Immediate |
| Knowledge | Bus factor = 1 | HEAT heatmap | Ongoing |
| Health | Sick day increase | HR data | Weeks |
| Silent | Reduced participation | Meeting notes, Slack activity | Weeks |
Trigger Keywords
High Urgency (Sound = 8-10):
"I'm done" "putting in notice" "can't do this anymore"
"looking for other jobs" "burned out" "hostile environment"
"discrimination" "harassment" "unsafe"Medium Urgency (Sound = 4-7):
"overwhelmed" "not sustainable" "need help"
"understaffed" "no work-life balance" "thankless"
"underappreciated" "dead end" "no growth"Low Urgency / Early Warning (Sound = 1-3):
"just curious about" "any development opportunities" "hypothetically"
"work from home policy" "how do other teams" "is it just us"Metrics
| Metric Type | Metric Name | Calculation | Target |
|---|---|---|---|
| Leading | Overtime hours | Hours > 40/week | <10% of team |
| Leading | Engagement pulse | Survey score (1-10) | >7.5 |
| Leading | Meeting attendance | Attended / Invited | >90% |
| Leading | PTO utilization | Days taken / Days available | 70-100% |
| Lagging | Voluntary turnover | Resignations / Headcount | <15% annually |
| Lagging | Time-to-fill | Days from req to hire | <45 days |
| Lagging | Knowledge concentration | % of critical tasks with single owner | <20% |
Cascade Pathways
EMPLOYEE IMPACT
│
├──────────────────────────────────────┐
▼ ▼
QUALITY OPERATIONAL
(Mistakes increase, (Slower delivery,
attention drops, bottlenecks form,
shortcuts taken) institutional knowledge lost)
│ │
▼ ▼
CUSTOMER REVENUE
(Service quality (Productivity loss,
degradation, hiring costs,
responsiveness drops) training investment lost)
│
▼
REGULATORY
(Compliance gaps,
safety incidents,
documentation failures)Primary Cascade: Employee → Quality (80% of cases) Secondary Cascade: Employee → Operational (70% of cases) Tertiary Cascade: Employee → Revenue (via turnover costs)
Multiplier Factors
| Factor | Low (1.5×) | Medium (3×) | High (6×+) |
|---|---|---|---|
| Role Criticality | Easily backfilled | Specialized | Irreplaceable expertise |
| Knowledge Concentration | Well-documented | Partially documented | Tribal knowledge only |
| Team Size | Large team (redundancy) | Medium team | Small/Solo |
| Replacement Time | <30 days | 30-90 days | >90 days |
| Training Investment | Entry level | Mid-level | Senior/Specialized |
3D Scoring (Sound × Space × Time)
| Lens | Score 1-3 | Score 4-6 | Score 7-10 |
|---|---|---|---|
| Sound (Urgency) | Grumbling | Active complaints | Resignation |
| Space (Scope) | One person | One team | Cross-functional |
| Time (Trajectory) | Temporary stress | Sustained pressure | Chronic condition |
Dimension 3: REVENUE IMPACT
Core Question: How does this problem affect money coming in?
Observable Signals
| Signal Type | Observable | Data Source | Detection Speed |
|---|---|---|---|
| Immediate | Invoice disputes | AR aging report | Days |
| Behavioral | Discount requests | Sales CRM | Days |
| Pipeline | Deal slippage | Forecast system | Weekly |
| Penalty | SLA breach payments | Contract management | Immediate |
| Opportunity | Lost bids | Sales post-mortems | Days |
| Pricing | Margin compression | Financial reports | Monthly |
| Cash | Payment cycle lengthening | Cash flow analysis | Weeks |
| Silent | Upsell/cross-sell decline | Revenue analytics | Months |
Trigger Keywords
High Urgency (Sound = 8-10):
"penalty clause" "breach of contract" "demand refund"
"termination" "lawsuit" "material breach"
"audit finding" "revenue restatement" "write-off"Medium Urgency (Sound = 4-7):
"renegotiate" "discount" "credit"
"delayed payment" "budget cut" "procurement review"
"competitive bid" "price matching" "cost reduction"Low Urgency / Early Warning (Sound = 1-3):
"next fiscal year" "budget planning" "exploring options"
"market conditions" "strategic review" "benchmarking"Metrics
| Metric Type | Metric Name | Calculation | Target |
|---|---|---|---|
| Leading | Pipeline velocity | Days in stage vs benchmark | <120% of target |
| Leading | Discount rate | Avg discount % on closed deals | <15% |
| Leading | AR aging | % of receivables >60 days | <10% |
| Leading | Forecast accuracy | Actual / Forecasted | 90-110% |
| Lagging | Revenue growth | YoY change | >10% |
| Lagging | Gross margin | (Revenue - COGS) / Revenue | Stable or increasing |
| Lagging | Revenue per employee | Total revenue / Headcount | Increasing |
Cascade Pathways
REVENUE IMPACT
│
├──────────────────────────────────────┐
▼ ▼
OPERATIONAL EMPLOYEE
(Cost cutting, (Hiring freeze,
resource constraints, layoffs,
investment delays) morale impact)
│ │
▼ ▼
QUALITY CUSTOMER
(Budget cuts to QA, (Reduced service,
cheaper materials, slower response,
reduced testing) feature cuts)
│
▼
REGULATORY
(Compliance budget cuts,
audit failures,
certification lapses)Primary Cascade: Revenue → Operational (85% of cases) Secondary Cascade: Revenue → Employee (60% of cases) Tertiary Cascade: Revenue → Quality (40% of cases)
Multiplier Factors
| Factor | Low (1.5×) | Medium (3×) | High (6×+) |
|---|---|---|---|
| Revenue Concentration | Diversified | Moderate concentration | Top 3 = >50% |
| Contract Type | Transactional | Annual | Multi-year committed |
| Margin Profile | High margin | Average margin | Low margin |
| Market Position | Commodity | Differentiated | Monopoly/Niche |
| Seasonality | Evenly distributed | Some concentration | Highly seasonal |
3D Scoring (Sound × Space × Time)
| Lens | Score 1-3 | Score 4-6 | Score 7-10 |
|---|---|---|---|
| Sound (Urgency) | Future risk | Current quarter impact | Immediate cash crisis |
| Space (Scope) | One deal | Product line | Company-wide |
| Time (Trajectory) | One-time hit | Quarterly pattern | Structural decline |
Dimension 4: REGULATORY IMPACT
Core Question: How does this problem affect our compliance and legal standing?
Observable Signals
| Signal Type | Observable | Data Source | Detection Speed |
|---|---|---|---|
| Immediate | Audit finding | Compliance reports | Days |
| Behavioral | Documentation gaps | Process audits | Weeks |
| Violation | Non-compliance notice | Legal/Compliance | Immediate |
| Exposure | Missing certifications | Compliance tracker | Monthly |
| Training | Expired certifications | LMS/HR system | Ongoing |
| Process | Deviation from standard | Quality reviews | Weeks |
| Silent | Policy not followed | Internal audits | Months |
| External | Regulatory inquiry | Legal department | Immediate |
Trigger Keywords
High Urgency (Sound = 8-10):
"violation" "fine" "penalty"
"cease and desist" "investigation" "lawsuit"
"material weakness" "regulatory action" "license suspended"
"criminal" "fraud" "subpoena"Medium Urgency (Sound = 4-7):
"audit finding" "non-compliance" "remediation required"
"certification gap" "documentation missing" "policy violation"
"deadline approaching" "renewal pending" "inspection scheduled"Low Urgency / Early Warning (Sound = 1-3):
"new regulation" "industry guidance" "best practice"
"peer comparison" "voluntary disclosure" "proactive review"Metrics
| Metric Type | Metric Name | Calculation | Target |
|---|---|---|---|
| Leading | Open audit findings | Count of unresolved | 0 critical, <5 minor |
| Leading | Certification currency | Days until expiration | >90 days |
| Leading | Policy acknowledgment | % of employees current | >95% |
| Leading | Training completion | Required training % | 100% |
| Lagging | Regulatory fines | Dollar amount / year | $0 |
| Lagging | Audit opinion | Clean / Qualified / Adverse | Clean |
| Lagging | Compliance incidents | Count per year | Decreasing |
Cascade Pathways
REGULATORY IMPACT
│
├──────────────────────────────────────┐
▼ ▼
REVENUE CUSTOMER
(Fines, penalties, (Trust erosion,
contract terminations, public disclosure,
market access loss) reputation damage)
│ │
▼ ▼
OPERATIONAL EMPLOYEE
(Remediation efforts, (Compliance burden,
process changes, blame culture,
system modifications) legal exposure)
│
▼
QUALITY
(Rushed compliance fixes,
resource diversion,
attention split)Primary Cascade: Regulatory → Revenue (90% of cases when fines involved) Secondary Cascade: Regulatory → Customer (70% if public disclosure) Tertiary Cascade: Regulatory → Operational (60% remediation required)
Multiplier Factors
| Factor | Low (1.5×) | Medium (3×) | High (10×+) |
|---|---|---|---|
| Industry Regulation | Light | Moderate | Heavily regulated (finance, healthcare) |
| Violation Severity | Administrative | Material | Criminal/Fraud |
| Public Exposure | Internal only | Industry disclosure | Public/Media |
| Repeat Offense | First occurrence | Pattern | Willful/Repeated |
| Remediation Complexity | Simple fix | Process change | Systemic overhaul |
3D Scoring (Sound × Space × Time)
| Lens | Score 1-3 | Score 4-6 | Score 7-10 |
|---|---|---|---|
| Sound (Urgency) | Best practice gap | Audit finding | Active investigation |
| Space (Scope) | One process | One department | Enterprise-wide |
| Time (Trajectory) | First instance | Pattern emerging | Chronic non-compliance |
Dimension 5: QUALITY IMPACT
Core Question: How does this problem affect what we deliver?
Observable Signals
| Signal Type | Observable | Data Source | Detection Speed |
|---|---|---|---|
| Immediate | Defect rate spike | QA system | Hours-Days |
| Behavioral | Rework hours increase | Timesheets | Days |
| Customer | Complaint volume up | Support system | Days |
| Safety | Incident reports | EHS system | Immediate |
| Returns | Product returns | Logistics/RMA | Days |
| Process | Specification deviations | Quality audits | Weeks |
| Silent | Workarounds created | Tribal knowledge, interviews | Months |
| Inspection | Rejection rate | Manufacturing QC | Immediate |
Trigger Keywords
High Urgency (Sound = 8-10):
"recall" "safety incident" "injury"
"critical defect" "system failure" "data breach"
"contamination" "fatality" "major outage"Medium Urgency (Sound = 4-7):
"defect" "rework" "redo"
"didn't meet spec" "out of tolerance" "failed inspection"
"customer complaint" "return" "warranty claim"Low Urgency / Early Warning (Sound = 1-3):
"workaround" "manual fix" "known issue"
"tech debt" "legacy limitation" "needs improvement"
"minor issue" "cosmetic defect" "edge case"Metrics
| Metric Type | Metric Name | Calculation | Target |
|---|---|---|---|
| Leading | First-pass yield | Good units / Total units | >95% |
| Leading | Defect detection rate | Defects found internally / Total | >90% |
| Leading | Code coverage | % of code with tests | >80% |
| Leading | Technical debt ratio | Debt remediation time / Dev time | <5% |
| Lagging | Customer-reported defects | Count per release/period | Decreasing |
| Lagging | Cost of quality | Prevention + Appraisal + Failure costs | <15% of revenue |
| Lagging | Warranty costs | Claims / Revenue | <2% |
Cascade Pathways
QUALITY IMPACT
│
├──────────────────────────────────────┐
▼ ▼
CUSTOMER OPERATIONAL
(Dissatisfaction, (Rework cycles,
trust erosion, resource diversion,
churn risk) schedule delays)
│ │
▼ ▼
REVENUE EMPLOYEE
(Warranty costs, (Frustration,
refunds, penalties, overtime for fixes,
lost sales) blame culture)
│
▼
REGULATORY
(Safety violations,
certification risk,
mandatory recalls)Primary Cascade: Quality → Customer (85% of cases) Secondary Cascade: Quality → Operational (75% of cases) Tertiary Cascade: Quality → Regulatory (30% of cases, but highest severity)
Multiplier Factors
| Factor | Low (1.5×) | Medium (3×) | High (10×+) |
|---|---|---|---|
| Detection Point | Internal QA | Customer-found | Field failure |
| Safety Impact | None | Potential | Actual injury |
| Scope of Defect | Single unit | Batch/Lot | Systemic design |
| Fix Complexity | Patch/Update | Rework | Recall/Replace |
| Brand Sensitivity | B2B commodity | Consumer product | Premium brand |
3D Scoring (Sound × Space × Time)
| Lens | Score 1-3 | Score 4-6 | Score 7-10 |
|---|---|---|---|
| Sound (Urgency) | Cosmetic issue | Functional defect | Safety critical |
| Space (Scope) | One unit | Batch/Release | All production |
| Time (Trajectory) | Isolated incident | Recurring | Systemic/Chronic |
Dimension 6: OPERATIONAL IMPACT
Core Question: How does this problem affect how we work?
Observable Signals
| Signal Type | Observable | Data Source | Detection Speed |
|---|---|---|---|
| Immediate | System downtime | Monitoring/APM | Minutes |
| Behavioral | Manual workarounds | Process documentation | Weeks |
| Bottleneck | Queue length increase | Workflow systems | Days |
| Cycle | Processing time up | Metrics dashboards | Days |
| Resource | Contention/Conflicts | Project management | Days |
| Capacity | Utilization spike | Resource planning | Days |
| Silent | Shadow processes | Interviews, observation | Months |
| Integration | Handoff failures | Cross-team metrics | Weeks |
Trigger Keywords
High Urgency (Sound = 8-10):
"system down" "outage" "critical failure"
"data loss" "cannot operate" "business stopped"
"disaster recovery" "incident" "P1/Sev1"Medium Urgency (Sound = 4-7):
"workaround" "manual process" "bottleneck"
"waiting on" "blocked by" "delayed"
"capacity issue" "resource conflict" "slow"Low Urgency / Early Warning (Sound = 1-3):
"inefficient" "could be better" "nice to have"
"tech debt" "legacy system" "someday"
"minor friction" "slight delay" "process improvement"Metrics
| Metric Type | Metric Name | Calculation | Target |
|---|---|---|---|
| Leading | System uptime | Available time / Total time | >99.9% |
| Leading | Cycle time | Time from start to completion | Decreasing |
| Leading | Queue depth | Items waiting / Processing rate | <2× normal |
| Leading | Resource utilization | Allocated / Available | 70-85% |
| Lagging | Incidents per period | Count of P1/P2 incidents | Decreasing |
| Lagging | Mean time to recovery | Avg incident resolution time | Decreasing |
| Lagging | Process efficiency | Value-add time / Total time | >70% |
Cascade Pathways
OPERATIONAL IMPACT
│
├─────────────────────────────────────────────────────┐
▼ ▼ ▼
QUALITY EMPLOYEE REVENUE
(Rushed work, (Frustration, (Delivery delays,
corners cut, overtime, penalties,
reduced testing) burnout) lost opportunities)
│ │ │
▼ ▼ ▼
CUSTOMER CUSTOMER REGULATORY
(Late delivery, (Poor service, (Compliance gaps,
quality issues) slow response) missed deadlines)Primary Cascade: Operational → Quality (80% of cases) Secondary Cascade: Operational → Employee (75% of cases) Tertiary Cascade: Operational → Revenue (60% of cases)
Multiplier Factors
| Factor | Low (1.5×) | Medium (3×) | High (6×+) |
|---|---|---|---|
| System Criticality | Support system | Core business | Revenue-generating |
| Dependency Chain | Standalone | Some dependencies | Highly interconnected |
| Recovery Options | Quick failover | Manual recovery | No backup |
| Business Timing | Off-peak | Normal operations | Peak/Critical period |
| Automation Level | Highly automated | Partially automated | Manual processes |
3D Scoring (Sound × Space × Time)
| Lens | Score 1-3 | Score 4-6 | Score 7-10 |
|---|---|---|---|
| Sound (Urgency) | Efficiency opportunity | Bottleneck | System down |
| Space (Scope) | One process | One department | Cross-functional |
| Time (Trajectory) | Temporary spike | Recurring issue | Chronic condition |
CASCADE PATHWAY MASTER MAP
┌─────────────────────────────────────────────────┐
│ PROBLEM ORIGIN │
│ (Identify starting dimension) │
└─────────────────────────┬───────────────────────┘
│
┌───────────────────────────────────────┼───────────────────────────────────────┐
│ │ │
▼ ▼ ▼
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ CUSTOMER │◄──────────────────────►│ EMPLOYEE │◄──────────────────────►│ REVENUE │
│ D1 │ │ D2 │ │ D3 │
└──────┬──────┘ └──────┬──────┘ └──────┬──────┘
│ │ │
│ ┌────────────────────────────┼────────────────────────────┐ │
│ │ │ │ │
│ ▼ ▼ ▼ │
│ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │
└─►│ REGULATORY │◄────────────►│ QUALITY │◄────────────►│ OPERATIONAL │◄─┘
│ D4 │ │ D5 │ │ D6 │
└─────────────┘ └─────────────┘ └─────────────┘
┌─────────────────────────────────────────────────┐
│ CASCADE MULTIPLICATION │
│ │
│ Each dimension can trigger any other │
│ Pathway strength varies by problem type │
│ Multiple simultaneous cascades possible │
│ │
└─────────────────────────────────────────────────┘Primary Cascade Patterns (Most Common)
| Origin | Primary Target | Secondary Target | Tertiary Target |
|---|---|---|---|
| Customer | Revenue (70%) | Employee (50%) | Regulatory (20%) |
| Employee | Quality (80%) | Operational (70%) | Revenue (40%) |
| Revenue | Operational (85%) | Employee (60%) | Quality (40%) |
| Regulatory | Revenue (90%) | Customer (70%) | Operational (60%) |
| Quality | Customer (85%) | Operational (75%) | Regulatory (30%) |
| Operational | Quality (80%) | Employee (75%) | Revenue (60%) |
SCORING METHODOLOGY
Step 1: Identify Observable Signals
For each dimension, document observed signals:
┌─────────────────────────────────────────────────────────┐
│ Dimension: [NAME] │
├─────────────────────────────────────────────────────────┤
│ Signals Observed: │
│ □ Immediate: _________________________________ │
│ □ Behavioral: ________________________________ │
│ □ Silent: ____________________________________ │
│ │
│ Trigger Keywords Found: │
│ □ High Urgency: ______________________________ │
│ □ Medium Urgency: ____________________________ │
│ □ Low Urgency: _______________________________ │
│ │
│ Data Sources Checked: │
│ □ ____________________________________________ │
│ □ ____________________________________________ │
└─────────────────────────────────────────────────────────┘Step 2: Apply 3D Lens
| Dimension | Sound (1-10) | Space (1-10) | Time (1-10) | Dimension Score |
|---|---|---|---|---|
| Customer | ||||
| Employee | ||||
| Revenue | ||||
| Regulatory | ||||
| Quality | ||||
| Operational |
Dimension Score = (Sound × Space × Time) ÷ 10
Step 3: Map Cascade Pathways
For each affected dimension, trace the cascade:
ORIGIN: [Primary Dimension]
│
├── Pathway 1: → [Dimension] (Probability: __%)
│ └── Evidence: _______________________
│
├── Pathway 2: → [Dimension] (Probability: __%)
│ └── Evidence: _______________________
│
└── Pathway 3: → [Dimension] (Probability: __%)
└── Evidence: _______________________Step 4: Calculate Multiplier
| Factor | Score (1-5) | Weight |
|---|---|---|
| Number of dimensions affected | 30% | |
| Cascade depth (levels) | 25% | |
| 3D average score (urgency × scope × trend) | 25% | |
| Reversibility (1=easy, 5=permanent) | 20% | |
| Weighted Score |
Multiplier Estimate:
- Score 1-2: 1.5-2× multiplier
- Score 3-4: 2-4× multiplier
- Score 5-6: 4-6× multiplier
- Score 7-8: 6-10× multiplier
- Score 9-10: 10×+ multiplier
Step 5: Calculate Total Impact
Direct Cost: $_______________
Cascade Costs by Dimension:
├── Customer: $_____________ (Direct × ___ %)
├── Employee: $_____________ (Direct × ___ %)
├── Revenue: $_____________ (Direct × ___ %)
├── Regulatory: $_____________ (Direct × ___ %)
├── Quality: $_____________ (Direct × ___ %)
└── Operational: $_____________ (Direct × ___ %)
Total Cascade Cost: $_______________
TOTAL IMPACT = Direct + Cascade = $_______________
MULTIPLIER = Total Impact ÷ Direct Cost = ___×APPLICATION EXAMPLE: THE $90K BILLING DISCOVERY
Signals Observed
| Dimension | Signals Found | Trigger Keywords |
|---|---|---|
| Customer | Contract renewal hesitation | "reconsidering", "need clarity" |
| Employee | 47 hours overtime on fixes | "not sustainable", "workaround" |
| Revenue | Invoice disputes, delayed payments | "discrepancy", "credit needed" |
| Regulatory | Audit trail gaps in billing | "documentation missing" |
| Quality | Manual corrections, rework | "manual fix", "redo" |
| Operational | System workarounds, data patches | "workaround", "manual process" |
3D Scoring
| Dimension | Sound | Space | Time | Score |
|---|---|---|---|---|
| Customer | 6 | 7 | 6 | 25.2 |
| Employee | 7 | 5 | 7 | 24.5 |
| Revenue | 8 | 6 | 7 | 33.6 |
| Regulatory | 5 | 4 | 5 | 10.0 |
| Quality | 7 | 6 | 6 | 25.2 |
| Operational | 8 | 7 | 7 | 39.2 |
Cascade Map
BILLING ERROR ($90K direct labor)
│
▼
OPERATIONAL (Origin)
Score: 39.2
│
├──► QUALITY (80%)
│ Score: 25.2
│ └──► CUSTOMER (85%)
│ Score: 25.2
│
├──► EMPLOYEE (75%)
│ Score: 24.5
│ └──► QUALITY (80%)
│ [Already counted]
│
└──► REVENUE (60%)
Score: 33.6
└──► REGULATORY (40%)
Score: 10.0Impact Calculation
| Dimension | Base Impact | Multiplier | Cascade Cost |
|---|---|---|---|
| Operational (Origin) | $90,000 | 1× | $90,000 |
| Quality | $90K × 80% | 2.5× | $180,000 |
| Employee | $90K × 75% | 3× | $202,500 |
| Customer | $90K × 60% | 4× | $216,000 |
| Revenue | $90K × 60% | 6× | $324,000 |
| Regulatory | $90K × 25% | 3× | $67,500 |
TOTAL IMPACT: $1,080,000 - $1,600,000MULTIPLIER: 12-17.7×
QUICK REFERENCE CARD
Dimension Checklist
| D | Dimension | Core Question | Key Metric |
|---|---|---|---|
| 1 | Customer | How does this affect who pays us? | NPS, Churn Rate |
| 2 | Employee | How does this affect who works for us? | Turnover, Engagement |
| 3 | Revenue | How does this affect money coming in? | AR Aging, Margin |
| 4 | Regulatory | How does this affect our compliance? | Audit Findings, Fines |
| 5 | Quality | How does this affect what we deliver? | Defect Rate, Rework |
| 6 | Operational | How does this affect how we work? | Uptime, Cycle Time |
3D Quick Reference
| Lens | Question | Low (1-3) | Medium (4-6) | High (7-10) |
|---|---|---|---|---|
| Sound | How urgent? | Future risk | Current issue | Crisis |
| Space | How widespread? | Isolated | Department | Enterprise |
| Time | Getting better or worse? | One-time | Recurring | Accelerating |
Multiplier Quick Estimate
| Dimensions Affected | Cascade Depth | Estimated Multiplier |
|---|---|---|
| 1-2 | 1 level | 1.5-2× |
| 2-3 | 2 levels | 2-4× |
| 3-4 | 2-3 levels | 4-6× |
| 4-5 | 3+ levels | 6-10× |
| 5-6 | 3+ levels | 10×+ |
INTEGRATION WITH CORMORANT FORAGING
The 6D Observable Properties Framework extends the Cormorant Foraging methodology:
| Cormorant (3D) | 6D Impact Application |
|---|---|
| Sound (ChirpIQX) | Urgency scoring for each dimension |
| Space (PerchIQX) | Scope mapping across dimensions |
| Time (WakeIQX) | Trajectory tracking over cascade levels |
Formula:
6D Impact Score = Σ (Dimension Weight × Sound × Space × Time)
Where:
- Dimension Weight = Importance to specific business (customizable)
- Sound = Urgency of signals (1-10)
- Space = Scope of impact (1-10)
- Time = Trajectory direction (-5 to +5, normalized to 1-10)The void has structure. This framework measures it. 🪶
APPENDIX: INDUSTRY VARIATIONS
Healthcare
| Standard Dimension | Healthcare Variation | Key Observable |
|---|---|---|
| Customer | Patient Outcomes | Readmission rates, HCAHPS scores |
| Quality | Clinical Quality | Infection rates, mortality rates |
| Regulatory | HIPAA/CMS Compliance | Audit findings, reimbursement risk |
Financial Services
| Standard Dimension | FinServ Variation | Key Observable |
|---|---|---|
| Customer | Client Trust | AUM flows, relationship tenure |
| Regulatory | SEC/FINRA/OCC | Examination findings, capital ratios |
| Quality | Trade Accuracy | Error rates, break resolution time |
Manufacturing
| Standard Dimension | Manufacturing Variation | Key Observable |
|---|---|---|
| Quality | Production Quality | First-pass yield, scrap rate |
| Operational | Production Efficiency | OEE, changeover time |
| Regulatory | Safety/Environmental | OSHA incidents, EPA compliance |
SaaS/Technology
| Standard Dimension | SaaS Variation | Key Observable |
|---|---|---|
| Customer | User Experience | Adoption rate, feature usage |
| Operational | System Reliability | Uptime, incident frequency |
| Quality | Technical Debt | Code coverage, bug escape rate |
End of 6D Observable Properties Framework
Version: 1.0 Next Review: Q1 2026 Feedback: Document learnings from field application
"Most analysis stops at the visible cost. They miss the cascade. Now you can see it."
6D Foraging Methodology™ — StratIQX