The Decision Matrix Builder: Score Any Hard Choice Objectively
Why this prompt matters
Unstructured decision-making under time pressure is dominated by recency and vividness bias — whatever consideration you thought about most recently, or whichever pro/con feels most emotionally vivid, ends up carrying disproportionate weight, regardless of how important it actually is to you. A person who reverses a major decision multiple times before committing typically reports lower satisfaction with the final choice even when the outcome is objectively fine, because the indecision itself erodes confidence in whatever gets chosen.
What we use it for
A marketing manager has three job offers on the table with a decision deadline in 4 days, and has changed their mind three times in the last 48 hours depending on which factor (salary, commute, or growth potential) they thought about most recently.
Prompt
Role: Act as a decision-analysis consultant who builds objective, weighted scoring frameworks to resolve hard choices when gut feeling isn't reliable enough. Context: I need to decide between multiple options and keep going back and forth because my judgment is being swayed by whichever pro or con I thought of most recently. Here is the decision: - The decision I'm facing: [DESCRIBE THE DECISION, e.g., which job offer to accept, which vendor to hire, which apartment to rent, which project to prioritize] - The options I'm considering: [LIST 2-5 OPTIONS WITH KEY DETAILS FOR EACH] - What matters to me in this decision, roughly in order of importance: [LIST YOUR CRITERIA, e.g., salary, growth potential, commute, team culture, job security] - Any hard constraints or dealbreakers: [LIST ANYTHING THAT AUTOMATICALLY DISQUALIFIES AN OPTION, OR WRITE "NONE"] Task: Build a complete weighted decision matrix. First, propose a weighting scheme for my criteria (as percentages that sum to 100%) based on the priority order I gave you, and ask me to confirm or adjust it before proceeding. Once weights are confirmed, score each option against each criterion on a 1-10 scale with a one-line justification for every score, then calculate the weighted total for each option. Constraints: - Do not let any single criterion silently dominate the outcome — flag it if one criterion's weight is doing more than 40% of the work in the final decision - Be honest about close calls: if two options land within 5% of each other on the weighted total, say so explicitly rather than declaring a clean winner - Do not just validate whichever option I mention first or seem to favor — score all options with the same rigor - If I listed any hard constraints, apply them first and eliminate disqualified options before scoring Output Format: 1. Proposed weighting scheme (as percentages) with your reasoning, and a prompt for me to confirm or adjust 2. A full scoring table: options as rows, criteria as columns, each cell showing the raw score (1-10) and a one-line justification 3. Weighted totals per option, sorted highest to lowest 4. A one-paragraph recommendation that names the winner (or flags a genuine tie) and explains what would need to change for a different option to win 5. A short list of what to watch for if you choose the top-ranked option, and what you'd be giving up by not choosing the runner-up
Result
Step 1: Proposed Weighting Scheme
Based on the priority order you gave (growth potential, salary, team culture, commute, job security), here's a proposed weighting. Please confirm or adjust before I score the options:
- Growth potential: 30%
- Salary: 25%
- Team culture: 20%
- Commute: 15%
- Job security: 10%
You confirmed this weighting as-is.
Step 2: Scoring Table
| Criterion (Weight) | Offer A: TechCo | Offer B: GrowthStartup | Offer C: StableCorp |
|---|---|---|---|
| Growth potential (30%) | 7 — Solid mentor, but flat team structure limits fast promotion | 9 — Ground-floor role at a scaling company, high visibility to leadership | 4 — Established hierarchy, promotions are slow and tenure-based |
| Salary (25%) | 8 — $142K base, standard bonus structure | 6 — $118K base, but with meaningful equity upside | 9 — $148K base, best of the three on cash comp |
| Team culture (20%) | 6 — Professional but siloed; limited cross-team collaboration | 9 — Small, tight-knit team, high trust reported in interviews | 7 — Traditional but respectful, clear expectations |
| Commute (15%) | 9 — Fully remote | 3 — In-office 4 days/week, 50-minute commute | 6 — Hybrid, 2 days/week, 25-minute commute |
| Job security (10%) | 7 — Profitable, mid-size, no recent layoffs | 4 — Pre-Series C, burn rate is a known risk factor | 9 — Large, stable, 40-year track record |
Step 3: Weighted Totals
- Offer A (TechCo): 7.35 — (7×0.30)+(8×0.25)+(6×0.20)+(9×0.15)+(7×0.10) = 2.10+2.00+1.20+1.35+0.70
- Offer B (GrowthStartup): 7.05 — (9×0.30)+(6×0.25)+(9×0.20)+(3×0.15)+(4×0.10) = 2.70+1.50+1.80+0.45+0.40
- Offer C (StableCorp): 6.35 — (4×0.30)+(9×0.25)+(7×0.20)+(6×0.15)+(9×0.10) = 1.20+2.25+1.40+0.90+0.90
Step 4: Recommendation
Offer A (TechCo) and Offer B (GrowthStartup) are within 0.30 points of each other — a genuine close call, not a clean win. TechCo edges ahead mainly because of the fully remote commute (9 vs. 3), which is doing real work in this outcome given you weighted commute at 15%. If growth potential matters even slightly more to you than you initially indicated — say, 35% instead of 30% — GrowthStartup would overtake TechCo. This is worth sitting with for a day: ask yourself honestly whether you'd resent a 50-minute commute for genuinely faster growth, or whether remote flexibility is a stronger day-to-day quality-of-life factor than you're giving it credit for.
Step 5: What to Watch For
If you choose TechCo: confirm the "flat team structure" concern directly with your would-be manager — ask for a concrete example of someone promoted in the last 18 months. If you choose GrowthStartup instead: get clarity on runway and burn rate before accepting, since job security scored lowest there for a specific reason. Either way, StableCorp's strongest case (salary, job security) isn't enough to overcome its weak growth potential score given your stated priorities — it's the clear third choice unless growth matters far less to you than you said.
Unstructured decision-making under time pressure gets dominated by recency and vividness bias — whatever consideration crossed your mind most recently ends up carrying disproportionate weight, regardless of how important it actually is to you. This prompt builds an objective, weighted scoring framework so gut feeling stops driving decisions it shouldn't.
Use Case
A marketing manager has three job offers on the table with a decision deadline in 4 days, and has changed their mind three times in the last 48 hours depending on which factor — salary, commute, or growth potential — they thought about most recently.
Why This Matters
A person who reverses a major decision multiple times before committing typically reports lower satisfaction with the final choice even when the outcome is objectively fine, because the indecision itself erodes confidence in whatever gets chosen.
Example Output
Below is a realistic example: weighing three job offers — TechCo, GrowthStartup, and StableCorp — across five weighted criteria, ending in a genuine close call between two options.