Good-Enough Option Matrix¶
Decision matrix — instantiates Satisficing Threshold Design
Lays every candidate against every criterion in a grid marked pass / fail / close-call, so the set of options that clear all floors and thresholds is visible at a glance and a declared tie rule picks among them — without collapsing anything into one optimized score.
A Good-Enough Option Matrix is a comparison grid — candidates down the rows, criteria across the columns — whose cells record pass, fail, close-call, or missing-evidence against each floor and threshold, not a weighted score. Its defining move is that it makes the qualifier set visible without optimizing: you can see at a glance which options clear everything, which fail on a floor, and where the evidence is thin, and then a declared tie rule selects among the qualifiers rather than an aggregate number crowning a single "winner." The matrix's whole value is the refusal to compensate — a brilliant column cannot buy back a failed floor, because there is no total to hide the failure inside. It is a transparency artifact for the moment when several options are sufficient and someone must choose fairly among them.
Example¶
A professional association is choosing a venue for its annual conference and three cities are in contention. Instead of scoring each on a 100-point scale — where a cheap hotel could out-total one that fails accessibility — the planning committee builds a matrix. Rows: the three finalist venues. Columns: step-free access to every session room and the stage (a floor), fire-code capacity for 900 (a floor), room-block cost under budget (a threshold), and AV rating, walkability, and catering flexibility (thresholds). The cells fill in: one venue fails the accessibility floor outright and drops out regardless of its low price; the other two clear every floor and threshold. Now there are two qualifiers, not one optimum. The committee applies its declared tie rule — prefer the lower transition risk for attendees with existing travel bookings — and picks. The matrix did not compute a best venue; it showed which venues were good enough and refused to let cost launder an accessibility failure.
How it works¶
- One row per candidate, one column per criterion. Floors and thresholds are labeled as such, so a reader can tell a non-negotiable from a preference at a glance.
- Cells are states, not scores. Pass, fail, close-call, and missing-evidence — never a number that could be summed across a floor breach.
- Read off the qualifier set. The options that clear every floor and every threshold are the qualifiers; everything else is visibly excluded and why.
- Apply the declared tie rule. When more than one option qualifies, a pre-stated secondary preference, rotation, or lottery breaks the tie — chosen before the grid was filled, so it cannot be reverse-engineered to a favorite.
Tuning parameters¶
- Column set — which criteria earn a column. More columns capture more of the real need but invite information overload and cherry-picked framing.
- Cell vocabulary — how many states a cell can take (pass/fail versus a five-level scale with close-call and disputed). Richer states preserve nuance but blur the crisp non-compensation the matrix exists to enforce.
- Missing-evidence handling — whether a blank cell reads as a fail, a hold, or a prompt to probe. Treating blanks as passes is how gaps get laundered.
- Tie rule — the declared method for choosing among qualifiers. Rotation or lottery maximizes legitimacy; a fixed secondary preference maximizes predictability — but a secret tiebreaker reintroduces optimization by stealth.
When it helps, and when it misleads¶
Its strength is that it makes trade-offs and exclusions legible to everyone in the room and structurally blocks a high score from compensating for a floor failure — the logic of noncompensatory decision rules, in which options failing on a critical attribute are eliminated rather than out-totaled, as in elimination by aspects.[n1] Its failure mode is theater: color-coded cells can lend false certainty to soft judgments, and a committee can cherry-pick which columns appear, so the grid looks rigorous while smuggling in a preference. The classic misuse is a hidden weighting — quietly treating some columns as decisive — which turns the matrix back into the optimizer it was meant to replace. The guarding discipline is plain-language notes on every close-call cell, a pre-declared tie rule, and a link from each cell back to its raw evidence.
How it implements the components¶
candidate_evaluation_record— the grid is the comparable record: every candidate tested against the same current criteria, with missingness, close-calls, and floor results preserved side by side.multiple_qualifier_and_tie_rule— it surfaces the full qualifier set and resolves the choice among them with a declared, legitimate tie method rather than a covert score.
It does not set the good-enough level in each column (aspiration_and_sufficiency_threshold) — it displays thresholds someone else declared; that is Aspiration-Level Decision Rule. Nor does it compute the conservative statistical margin behind a close-call cell (uncertainty_and_confidence_margin); that is its nearest evaluation-artifact twin, Threshold with Confidence Bound, which decides how sure a "pass" must be, whereas this matrix only marks that a pass was claimed.
Related¶
- Instantiates: Satisficing Threshold Design — the matrix is the archetype's transparent comparison-and-tie surface.
- Consumes: Threshold with Confidence Bound can supply the graded, uncertainty-aware pass/fail state that fills a close-call cell.
- Sibling mechanisms: Threshold with Confidence Bound · Aspiration-Level Decision Rule · Minimum Service or Quality Floor · Qualified Shortlist Then First Fit · Timeboxed Search with Stop Gate · Emergency Temporary Threshold · Performance-Triggered Reopen Review · Satisficing Procurement or Hiring Protocol · Acceptance-Criteria Checklist
Editorial Notes¶
Form Classification¶
Form family: Decision, Gate & Allocation
Rationale: Good-Enough Option Matrix operates as a case-specific gate, selection, routing, prioritization, or resource disposition because it lays every candidate against every criterion in a grid marked pass / fail / close-call, so the set of options that clear all floors and thresholds is visible at a glance and a declared tie rule picks among them — without collapsing anything into one optimized score.
Independent corroboration: The frozen evidence defines Good-Enough Option Matrix as 'Lays every candidate against every criterion in a grid marked pass / fail / close-call, so the set of options that clear all floors and thresholds is visible at a glance and a declared tie rule picks among them — without collapsing anything into one optimized score', so its operative form is Decision, Gate & Allocation.
Nearest alternative: Rule, Policy & Commitment — The matrix makes a bounded qualifier and tie-rule selection among candidates; standing floors supply its constraints.
Review outcome: Independent reviewer agreement; medium confidence.
Origin Attribution¶
Primary origin: Operations Research
Origin pattern: Convergent development
Present-day reach: Multi-domain
Rationale: Satisficing and noncompensatory multi-criteria decision methods supply thresholded option screening.
Related originating lineages:
- Organizational & Management Science — Organizational decision science developed satisficing under bounded rationality and declared adequacy floors.
- Psychology — Elimination-by-aspects and satisficing research independently developed threshold-based, noncompensatory choice.
Review resolution: NASA decision-analysis guidance explicitly uses criteria-by-alternative matrices, mandatory thresholds, and rejection of options that fail them; European Commission guidance distinguishes non-compensatory multi-criteria analysis when trade-offs are unacceptable. That makes operations_research the primary lineage of the matrix. Tversky’s elimination-by-aspects supplies an independent psychological threshold-screening lineage, and organizational decision science supplies satisficing. The exact pass/fail/close-call packaging is an encyclopedia synthesis.
Encyclopedia synthesis: The exact catalogued form synthesizes established practice rather than reproducing a single standard historical label.
Review outcome: Researched adjudication after independent review; high confidence.
Sources consulted:
- https://www.nasa.gov/reference/6-8-decision-analysis/ — NASA decision matrices and mandatory criteria.
- https://ec.europa.eu/smart-regulation/impact/ia_carried_out/docs/ia_2016/swd_2016_0211_en.pdf — European Commission non-compensatory multi-criteria analysis.
- https://doi.org/10.1037/h0032955 — Tversky original elimination-by-aspects paper.
Notes¶
[n1] Amos Tversky's elimination by aspects is a noncompensatory choice model: candidates are screened attribute by attribute, and any option failing a considered aspect is dropped outright rather than allowed to compensate elsewhere. A good-enough matrix operationalizes the same refusal to trade a floor for a high score. ↩