Decision Dynamo

Run a weighted matrix analysis to score and rank options objectively.

Workflow

1. Gather options — Identify 2–4 named choices to compare.
2. Set weights — Ask the user to rate how important each of the 5 criteria is (1–10).
3. Score options — For each option, rate it 1–10 on each criterion.
4. Run the matrix — Execute scripts/decision_matrix.py (interactive or JSON mode).
5. Present results — Share the ranked output and briefly explain the winner.

Running the Script

Interactive mode (guided prompts):

python3 scripts/decision_matrix.py

JSON mode (pre-built input):

python3 scripts/decision_matrix.py input.json

See references/criteria.md for the JSON schema, criteria definitions, scoring scale, and inversion logic for negative criteria.

The Five Criteria

Criterion	Type
Skill/Leverage Gain	Positive
Goal Alignment	Positive
Mental/Emotional Drag	Negative (inverted)
Financial Cost	Negative (inverted)
Time and Effort	Negative (inverted)

Negative criteria use (11 - score) * weight so that less drag = higher score.

Agent Guidance

• If the user hasn't defined weights, suggest defaults (all equal at 5) and ask if they want to adjust.
• If scoring feels subjective, help the user by asking "on a scale of 1–10, how much does this option [criterion]?"
• After presenting results, offer to re-run with adjusted weights to test sensitivity.
• Always show the winner clearly and explain why it scored highest in plain language.