IkigaiNiche
Use this matrix to compare niche candidates, then go deeper with IkigaiNiche, it maps where passion, skill, demand, and reward intersect.
Explore IkigaiNiche →Stop overthinking and start comparing. Define your criteria, weight what matters most, score each option, and let the math surface the best choice. Classic use case: comparing niche candidates, score each one and pair the exercise with IkigaiNiche for structured discovery.
Compare options objectively by scoring them against weighted criteria. Everything runs in your browser, no server, no signup.
Each criterion gets a weight from 1 to 10 reflecting how important it is relative to the others. Each option is then scored 1 to 10 against every criterion. The tool multiplies each score by its weight, sums the weighted scores per option, and divides by the total weight to produce a normalised score out of 100. Higher is better.
Everything updates instantly in your browser. No server, no signup, no tracking.
Use this matrix to compare niche candidates, then go deeper with IkigaiNiche, it maps where passion, skill, demand, and reward intersect.
Explore IkigaiNiche →Use a weighted scorecard purpose-built for validating micro SaaS ideas before you commit to building.
Use the scorecard →A decision matrix is a structured tool for comparing multiple options against the same set of criteria. You list the criteria that matter, score each option against each criterion, and the option with the highest total wins. It replaces gut-feel pros-and-cons lists with a comparable number.
Four steps: define 3-6 criteria that genuinely matter, assign each a weight from 1-10 based on relative importance, score each option 1-10 against every criterion, then multiply scores by weights and sum per option. The highest weighted total is your analytically best choice. This tool does all the math for you as you type.
A pros-and-cons list treats every point as equal and compares options in your head. A weighted matrix forces you to rank what actually matters, score options on the same scale, and produces a single number per option. It removes the "but I just feel like" bias that makes most decisions drift back to the status quo.
If two options score within 5 points of each other, the matrix is telling you the logical choice is genuinely close. At that point switch methods, ask which option you'd regret not choosing in 5 years, or which keeps the most future options open. For founders stuck on which niche or idea to commit to, re-examine the alignment layer with IkigaiNiche.
Anything with 2-5 comparable options and criteria you can name: picking a job offer, choosing between startup ideas, selecting a tech stack, comparing apartments, deciding which niche to commit to, picking which feature to ship next. It's weakest for binary stay-or-leave decisions where the alternatives aren't yet defined.
Aim for 3-6 criteria and 2-5 options. Fewer than 3 criteria and you're essentially flipping a coin. More than 6 and you're padding with criteria that don't actually change the outcome. If every criterion gets weight 8-10, prune, weight differences are what give the matrix its power.