> open /techniques/kepner-tregoe --case=004
CASE #004 // KEPNER–TREGOE

THE POND PROTOCOLCHOOSE WELL.
THEN FIND OUT WHAT WENT WRONG.

Kepner–Tregoe is a family of structured thinking processes. This case demonstrates two core Kepner–Tregoe processes: Decision Analysis to choose a pond, then Problem Analysis to explain an unexpected change after the move.

PURPOSEDECIDE
DIFFICULTYMEDIUM
TIME30–90 MIN
BEST FORCOMPLEX CHOICES
✓
?
STATUS: THREE PONDS. ONE MOVE.
DECISION_

Capybara needs a new pond. 🌿💧

Three places look promising. Choosing the prettiest one would be fast — but not necessarily smart. So Capybara separates requirements from preferences, then tests the leading option for downside risk.

DECISION ANALYSIS CONSOLEOBJECTIVE: SELECT BEST POND
ALTERNATIVES_
SHORTLIST
All three survive initial screening.
POND A
🌳 💧 🧺
RIVERBEND
Beautiful shade. Busy weekends.
POND B
🌿 💧 ☁️
QUIET MARSH
Calm and shaded. Snacks farther away.
POND C
🍉 💧 ☀️
MELON BAY
Excellent snacks. Less shade.
01

Set the MUSTs.

A MUST is binary. If an alternative fails one, it is out — no amount of bonus points should rescue it.

MUST requirementA / RiverbendB / Quiet MarshC / Melon Bay
Safe water qualityPASS ✓PASS ✓PASS ✓
Available year-roundPASS ✓PASS ✓PASS ✓
No high-speed boat trafficPASS ✓PASS ✓PASS ✓
GATE:All three pass. Continue to weighted WANTs.
02

Weight the WANTs.

Not everything matters equally. Give the most important preference the largest weight, then score each pond against the same criteria.

WANTWEIGHTA scoreA × WB scoreB × WC scoreC × W
Quiet / low disturbance10440990770
Shade8972864432
Snack access 🍉76425351070
Space for friends5735945735
Easy maintenance4624832624
WEIGHTED TOTAL_
RIVERBEND213
QUIET MARSH266
MELON BAY231
03

Stress-test the leader.

The highest score is not an automatic winner. Ask what could go wrong, how serious it would be, and how likely it is.

A / RIVERBEND

Weekend crowdsHIGH
Bank erosionMED

B / QUIET MARSH

Snack distanceLOW
Seasonal reedsMED

C / MELON BAY

Heat exposureHIGH
Visitor trafficMED
CHECK:Quiet Marsh still leads after adverse consequences are considered.
266
STATUS: DECISION DEFENSIBLE ☕
DECISION_

Choose Quiet Marsh.

It passes every MUST, has the strongest weighted score, and its remaining risks are manageable. The point is not mathematical theater — it is making assumptions, priorities and trade-offs visible.

SELECTED: POND B ✓
PROBLEM ANALYSIS CONSOLEOBJECTIVE: EXPLAIN WHAT CHANGED
IS≠IS NOT
STATUS: POND B HAS A PROBLEM
PROBLEM ANALYSIS_

A week later, Quiet Marsh turns cloudy. 🌫️💧

Now the task is no longer to choose. It is to explain a deviation: what is happening, where, when, and how much — then compare that with where the problem is not.

WHAT_

IS: Water turns cloudy after noon.
IS NOT: Water is clear in the morning.

WHERE_

IS: North inlet side.
IS NOT: South reed bed.

WHEN_

IS: Since the new feeder was installed.
IS NOT: Before installation.

EXTENT_

IS: 1–2 hours each afternoon.
IS NOT: All day or across the whole pond.

CHANGES / DISTINCTIONS_

  • New automatic feeder installed near north inlet.
  • Only the north side receives concentrated snack pellets.
  • Afternoon feeding coincides with cloudiness.

POSSIBLE CAUSES_

  • Heavy rain runoff
  • Filter failure
  • Bird activity
  • Feeder creating excess organic load

04 // TEST THE SUSPECTS_

A possible cause must explain the whole pattern — including why the problem appears here and now, but not elsewhere or earlier.

A // 🌧️ RAIN RUNOFF

Explains cloudy water?YES ✓
North inlet only?NO ✕
Afternoon only?NO ✕
Matches recent change?NO ✕
RESULT: POOR FIT — no rain pattern explains the timing.

B // ⚙️ FILTER FAILURE

Explains cloudy water?YES ✓
North inlet only?NO ✕
Afternoon only?NO ✕
Matches recent change?NO ✕
RESULT: WEAK FIT — a failed filter should affect more of the pond.

C // 🐦 BIRD ACTIVITY

Explains cloudy water?MAYBE ?
North inlet only?MAYBE ?
Afternoon only?NO ✕
Matches recent change?NO ✕
RESULT: INCOMPLETE FIT — nothing changed about the birds.

D // 🍽️ FEEDER OVERLOAD

Explains cloudy water?YES ✓
North inlet only?YES ✓
Afternoon only?YES ✓
Matches recent change?YES ✓
RESULT: FITS ALL KNOWN FACTS.
HYPOTHESIS→TEST→EVIDENCE→VERIFIED CAUSE
BEST-FIT CAUSE: New feeder adds too much food near the north inlet.→VERIFY: Reduce feeder output for one cycle and observe whether afternoon cloudiness disappears.

REAL WORLD TRANSLATION_

Ponds→Vendors / projects / options
MUSTs→Non-negotiable requirements
WANT weights→Relative importance
Adverse consequences→Decision risk

REMEMBER_

Do not use the scores to manufacture certainty. The value is in forcing the team to state criteria, weights and risks explicitly. If the inputs are weak or political, a precise-looking total is still weak.

This case now demonstrates both Decision Analysis and Problem Analysis. Kepner–Tregoe also includes Situation Appraisal and Potential Problem Analysis.

> run /tools/kepner-tregoe --interactive

TRY IT YOURSELF_

Use Decision Analysis when you need to choose between alternatives. Use Problem Analysis when something has deviated from normal and you need to explain why.

LOCAL WORKSPACE
saved on this device
KEPNER–TREGOE WORKSPACE / YOUR CASESTRUCTURE → COMPARE → VERIFY
LOCAL SAVE ACTIVE_Changes are auto-saved in this browser on this device.

CAPYBARA PRIVACY NOTE_ Keep passwords, API keys, access tokens and credentials out of the workspace. Private Session controls problem.me storage; it is not a secret vault. HOW PRIVACY WORKS →

what exactly are you choosing?
ALTERNATIVES_2–5 options
MUSTs_binary gates — fail one, option is out
WANTs_weight importance, then score every surviving option 0–10
ADVERSE CONSEQUENCES_scores are not an automatic decision
AUTO-SAVE READY_
REASONING LAYER_

EVIDENCE LEDGER_

Separate what you know from what you think. Facts, assumptions, tests and results stay visible while the investigation evolves.

NO EVIDENCE LOGGED
LEDGER READY_
CAPYBARA.EXE: Claims are cheaper than evidence. Log what you actually know.