Decision Matrix

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.

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.