Decision matrix
Scores options against weighted criteria instead of counting disconnected points.
Compare options
Compare choices side by side without flattening the tradeoffs.
DecisionFrames lets you name the options, then evaluates each one through the frameworks that fit the situation. It shows the recommended option, the main tradeoff, lens-by-lens winners, and what evidence would change the answer.
When comparing options needs more than pros and cons
A pros-and-cons list is useful, but it often treats every point as equal. A structured option comparison can weigh the criteria that actually matter: reversibility, opportunity cost, downside risk, values alignment, expected value, and first-step evidence.
Opportunity cost
Shows what each path gives up, including invisible costs like attention and timing.
Reversibility test
Separates low-risk experiments from commitments that are costly to unwind.
What the output gives you
- A clear recommended option.
- A short explanation of why that option wins.
- Best-for, upside, risk, and first-step notes for each option.
- Framework-by-framework winners so you can see where lenses disagree.
- A copyable packet for continuing the conversation in another AI tool.