Decision Matrix#

What It Does#

Takes the guesswork out of tough decisions by applying structured frameworks. Instead of spinning in circles with pros/cons lists, you get a repeatable system for comparing options, weighting what matters, and reaching a conclusion you can explain and defend.

Frameworks Available#

1. Classic Pros & Cons (Benjamin Franklin Method)#

Best for: Quick decisions with low-to-moderate stakes

Step	Action
1	Draw two columns: PROS and CONS
2	List every reason for and against — no filtering
3	Weigh each item (not all pros are equal). Assign +1 to +5 for pros, -1 to -5 for cons
4	Sum the scores. A net positive suggests "yes." Consider emotional weight too

Guardrail: Pros/cons alone miss hidden assumptions. Always follow with: "What am I not considering?"

2. Weighted Decision Matrix (Pugh Matrix)#

Best for: Comparing multiple options against multiple criteria

| Criteria               | Weight (1-5) | Option A | Option B | Option C |
|------------------------|-------------|----------|----------|----------|
| Cost                   |      4      |   8/10   |   6/10   |   9/10   |
| Time to Market         |      3      |   7/10   |   9/10   |   5/10   |
| Strategic Fit          |      5      |   9/10   |   4/10   |   7/10   |
| Team Capacity          |      2      |   6/10   |   8/10   |   4/10   |
| **Weighted Total**     |             |   113    |   92     |   103    |

Steps:

List all viable options (rows)
Define criteria that matter (columns)
Assign a weight (1-5) to each criterion based on importance
Score each option per criterion (1-10)
Multiply score × weight, sum across criteria
Highest weighted total wins — but sanity-check the result

3. Pre-Mortem#

Best for: High-stakes decisions where risk mitigation is critical

"It's 12 months from now and our decision has failed spectacularly. How did it happen?"

Step	Technique
1	Assume the decision was made and led to disaster
2	Fast-forward and write the "post-mortem" — what went wrong?
3	Generate 5-10 plausible failure modes
4	For each failure, ask: "What could prevent this?"
5	Incorporate those safeguards into the decision

Why it works: Humans are loss-averse. Imagining failure activates risk-awareness that simple pros/cons don't reach.

4. Opportunity Cost Frame#

Best for: Deciding between two good options (where saying yes to A means saying no to B)

Frame	Question
Cost of yes	What do I give up by choosing this?
Cost of no	What do I give up by not choosing this?
Regret test	If I look back in 5 years, which "no" would I regret more?
Opportunity comparison	If Option A didn't exist, would I choose Option B?

Heuristic: If saying "no" to Option A doesn't feel like a loss, don't choose it.

5. ICE Score (Impact, Confidence, Ease)#

Best for: Prioritizing many options quickly (features, ideas, experiments)

Criterion	Scale	Question
Impact	1-10	How significant will the result be if successful?
Confidence	1-10	How sure are we about the expected outcome?
Ease	1-10	How easy/simple is this to execute?

Formula: ICE Score = Impact × Confidence × Ease

Sort by score. Work on the highest first. Re-score when new data emerges.

6. The 10/10/10 Rule#

Best for: Emotional or high-stakes personal decisions

Time Horizon	Question
10 minutes	How will I feel about this decision in 10 minutes?
10 months	How will I feel about it in 10 months?
10 years	How will I feel about it in 10 years?

Purpose: Shifts perspective from short-term emotion to long-term impact. If all three horizons align — it's an easy call. If they conflict, the 10-year horizon should usually win.

Trigger Phrases#

Phrase	Action
"Help me decide between..."	Starts a structured comparison of options
"Pros and cons of..."	Generates a weighted pros/cons table
"Should I [X] or [Y]?"	Runs a decision matrix or opportunity cost analysis
"What am I not considering?"	Surfaces blind spots and hidden assumptions
"Run a pre-mortem on..."	Scenarios worst-case outcomes to de-risk the decision
"Prioritize these for me..."	Uses ICE or weighted scoring to rank options
"Help me think this through..."	Combines frameworks layered for clarity

Step-by-Step Instructions#

Step 1: Define the Decision Clearly#

A fuzzy question gets a fuzzy answer. Be specific:

❌ "Should I change jobs?"
✅ "Should I accept the offer at Company X ($120k, hybrid, startup) or stay at my current role ($110k, remote, corporate)?"

Step 2: Identify the Decision Type#

Decision Type	Recommended Framework
Low stakes, 2 options	Pros & Cons (weighted)
Multiple options, many criteria	Weighted Decision Matrix
High risk, irreversible	Pre-mortem
Scarcity (time/money focus)	Opportunity Cost Frame
Prioritizing a long list	ICE Score
Emotional/personal	10/10/10 Rule

Step 3: Collect the Data#

Gather:

All realistic options (at least 2, rarely more than 5)
All relevant criteria
Objective data where possible (numbers, dates, facts)
Subjective preferences (gut feel, values, identity)

Step 4: Apply the Framework#

Run the framework step by step. Document scores, weights, and reasoning.

Step 5: Check for Bias#

Bias	Mitigation
Confirmation bias	Actively list reasons against your preferred option first
Recency bias	Consider decisions from 6+ months ago — does this feel different?
Sunk cost	"If I had no prior investment in this, would I still choose it?"
Status quo bias	"If this weren't the default, would I pick it?"

Step 6: Decide and Commit#

If the data is clear → decide.
If it's close (within 10% in weighted scoring) → go with gut feel or the more reversible option.
Write down the decision and your reasoning — future you will thank you.

Step 7: Review the Outcome#

After the decision plays out, revisit your framework. Did your weights reflect reality? Did you miss a criterion? Retrospect improves future decisions.

Examples#

Example 1: Freelancer Deciding Between Two Clients#

Input: "Should I take Client A ($5k, urgent, boring) or Client B ($3k, flexible, exciting project)?"

Process: Weighted Decision Matrix

Criteria Weight Client A Client B
Income 4 9 (36) 5 (20)
Enjoyment 3 3 (9) 9 (27)
Time Pressure 2 3 (6) 9 (18)
Portfolio Value 4 4 (16) 9 (36)
Total 67 101

Result: Client B wins despite lower pay, because portfolio value and enjoyment outweigh the income gap.

Criteria	Weight	Client A	Client B
Income	4	9 (36)	5 (20)
Enjoyment	3	3 (9)	9 (27)
Time Pressure	2	3 (6)	9 (18)
Portfolio Value	4	4 (16)	9 (36)
Total		67	101

Example 2: Solopreneur — "Should I Build Feature X?"#

Input: "Should I prioritize building a mobile app or improving onboarding?"

Process: ICE + Pre-mortem

ICE:

Mobile App: Impact 8, Confidence 4, Ease 2 → ICE = 64

Onboarding: Impact 6, Confidence 8, Ease 8 → ICE = 384

Pre-mortem on mobile app decision: "We built the app but no one used it because onboarding was broken." → Clear signal to fix onboarding first.

Pro Tips#

Weight matters more than scores: Most people fight over scores (7 vs 8). Weights determine the real outcome. Spend time getting weights right.
Add a "must-have" filter: Before any matrix, define non-negotiables. If an option fails a must-have, eliminate it immediately.
The 80% rule: If you have 80% of the information you could possibly get, decide. Waiting for perfect information is a decision too — usually the wrong one.
Revisit, don't regret: Write down why you decided. When doubt creeps in, re-read your reasoning. Trust past-you's process.
Some decisions are reversible: Jeff Bezos calls these "Type 2 decisions." If you can reverse it cheaply, don't over-analyze. Make the call fast.

Decision Matrix