Two-Option Comparison Engine for an Evidence-Based Choice

Use the engine to organize benefits and concerns, test whether either option matches your stated priority, and identify the missing evidence most likely to change the comparison.

Build the evidence record

Write one concrete claim per line. The engine audits what you provide. It does not fill gaps with invented facts.

Transparent by design

The analysis runs in this browser using visible matching and balance rules. No remote model receives your decision.

Choose a starting point or keep the blank comparison. Every field remains editable.

Evidence for the first option
Evidence for the second option

Your decision brief will appear here

The brief will show priority coverage, input balance, evidence quality, reversibility, and the next fact worth checking.

How the evidence audit is built

The engine does not produce a mysterious confidence score. It checks five visible parts of the record and explains which one limits the comparison.

AuditWhat it checksHow to respond
Priority coverageWhether your notes contain concrete language connected to the outcome you named.Add evidence about the missing outcome rather than more general pros and cons.
Input balanceWhether both options received a comparable number of benefits and concerns.Research the thinner side before accepting a lead.
Evidence qualityWhether the claims are mostly verified, mixed, or assumptions.Do not let a longer list of guesses defeat a shorter list of facts.
Exit costWhether a close choice can be tested or reversed without serious loss.Prefer a safe test when evidence remains weak.
Missing factsWhich incomplete part is most likely to change the reading.Verify that fact next and rerun the brief.

How the on-device matching works

The engine turns comma-, semicolon-, or line-separated notes into benefit and concern lists. It then compares words from your stated priority with words in those lists. A benefit that overlaps with the priority strengthens that option's signal; an overlapping concern weakens it. If one signal leads by more than one point, the result names that option. Otherwise, it reports that the notes do not create a clear lead. The comparison and scoring methodology explains how the site handles criteria, weak evidence, and close results.

What the result can and cannot tell you

The result can expose an uneven comparison, such as listing detailed benefits for one option and almost no risks. It can also show whether your notes actually discuss the priority you named. It cannot understand context, verify a claim, search for current facts, or decide how serious one consequence is. The number of notes is not a measure of real-world quality.

Write inputs that are fair to both options

Use one concrete claim per line, cover the same categories for both choices, and separate known facts from estimates. Replace broad labels such as "better" with an outcome you could check. If the reading changes when you rewrite one vague note, gather evidence before treating either option as the leader.

Check the result before using it

Use it for

Early-stage decisions where your notes are scattered and the next useful question is unclear.

Do not use it for

Decisions that require current facts the tool cannot verify, or professional medical, legal, financial, or safety judgment.

Need more rigor?

Move the most important criteria into the weighted decision matrix and test how stable the result is.

Before trusting the comparison brief

Check what the browser-based comparison does, where the inputs go, and how to investigate a result that is too close to trust.

Does the comparison engine invent or retrieve facts?

No. The engine runs transparent comparison rules in your browser. It organizes what you enter, checks whether your notes cover the stated priority, and identifies missing evidence. It does not send the decision to a remote model, search the web, or pretend to know facts you did not provide.

See how EITHER.SO handles evidence and scoring

What should I do when the result is close?

Find the important input with the weakest evidence. Verify it, test a realistic range, or choose the option with the cheaper exit. A close result is a reason to improve one input, not to add false precision.

Learn how to decide with incomplete information

Strengthen the evidence behind the brief

Move from a first-pass comparison to evidence triage, uncertainty analysis, or the scoring rules behind the result.