Regret Gap Table¶
Decomposition table — instantiates Regret-Signal Calibration
Breaks a single realized regret into its component value differences — money, time, trust, safety, optionality, learning — and shows which stakeholders bear each one.
The Regret Gap Table takes one regret that has already landed and refuses to leave it as a single ache or a single number. It decomposes the gap between the actual outcome and its reference alternative into named value dimensions — money, time, trust, safety, learning, lost optionality, fairness — and lays those against the stakeholders who actually carry them. A vague "we should have gone the other way" becomes an itemized ledger, signed dimension by dimension (because some axes may favor the path taken), attributed party by party. Its defining idea is separation: pull apart what kind of regret this is and who bears it, so the response can be targeted at the real locus of harm rather than smeared across the whole decision.
Example¶
A nonprofit ran Campaign A over the rejected Campaign B, and afterward feels it chose wrong. The gap table decomposes the regret. Reach: B would plausibly have reached tens of thousands more people (a real minus for A — illustrative). Cost: A came in cheaper, a genuine plus that a one-number verdict would have erased. Brand trust: A's tone alienated a partner organization — a concentrated harm. Staff learning: A built new in-house skills — another plus. Rows are the value dimensions; columns are the stakeholders — beneficiaries, donors, staff, and the partner org. Laid out this way, the regret turns out not to be a broad loss at all; it is concentrated almost entirely in the damaged partner relationship. That points the response toward repair of one relationship, not a wholesale strategy reversal.
How it works¶
Fix the outcome-reference pair so every row is scored against the same comparison. Enumerate the value dimensions that actually matter for this decision — not a generic checklist. For each, narrate or quantify the difference, keeping the sign (a dimension can net positive for the chosen path). Attribute each dimension's gap to the stakeholders who bear it. The finished table supports two readings: a net view (is this regret broadly bad, or does it net out once the pluses are counted?) and a concentration view (is the harm spread evenly, or does it pool on one dimension or one party?). It renders a diagnosis, never a decision rule.
Tuning parameters¶
- Dimension set — which value axes are included. More axes capture nuance; too many bury the signal in a spreadsheet.
- Quantitative vs qualitative cells — whether to number the soft dimensions or label them. Numbers aggregate cleanly but tempt false precision.
- Stakeholder granularity — how finely the affected parties are split. Finer attribution locates harm precisely but multiplies the columns.
- Net vs itemized presentation — whether to collapse to a bottom line or keep incommensurable dimensions deliberately un-summed.
When it helps, and when it misleads¶
Its strength is defeating two distortions at once — the "one big number" that flattens a many-sided regret and the "everyone lost" that hides where the harm actually pooled. By locating regret precisely, it makes targeted repair possible.
Its failure mode is false precision when soft dimensions like trust or morale are forced into dollars, and analysis bloat when a twelve-dimension table is built for a minor call. It can also confuse opportunity cost[n1] measured in feeling with opportunity cost measured in significance — a small-value gap that stings emotionally can dominate the table and pull attention from a larger, duller loss. The classic misuse is sizing rows by how much they hurt rather than how much they matter. The guarding discipline is to scale the table to the decision's significance, keep incommensurable dimensions labeled rather than monetized, and separate intensity of feeling from magnitude of value.
How it implements the components¶
regret_gap_measure— the table is the decomposition of the realized value gap across dimensions, quantitative or qualitative.stakeholder_regret_map— its columns attribute each dimension's gap to the specific stakeholders who bear it.outcome_reference_pair— every row is scored against one fixed actual-versus-reference comparison.
It decomposes and attributes but never chooses; the regret_tolerance_threshold and the worst-case decision rule that turn regret scores into an option selection are its nearest twin Minimax Regret Matrix's job.
Related¶
- Instantiates: Regret-Signal Calibration — the diagnostic that shows what kind of regret this is and who carries it.
- Consumes: Counterfactual Plausibility Screen — so gaps are sized only against a credible reference alternative.
- Sibling mechanisms: Actionability-Filter After-Action Review · No-Fault Learning Review · Counterfactual Plausibility Screen · Forgone-Alternative Decision Journal · Minimax Regret Matrix · Regret Pre-Mortem · Commitment Reset Memo · Reversal-Window Check · Rumination Timebox
Editorial Notes¶
Form Classification¶
Form family: Analysis, Modeling & Optimization
Rationale: Regret Gap Table operates by decomposes outcome differences by decision-relevant dimension and attributes signed regret gaps. That concrete deployed or enacted form is Analysis, Modeling & Optimization under the frozen taxonomy.
Nearest alternative: Representation, Specification & Plan — Although Representation, Specification & Plan can support this mechanism, the frozen evidence makes its operative form the act that decomposes outcome differences by decision-relevant dimension and attributes signed regret gaps; the alternative is therefore secondary rather than defining.
Review outcome: Adjudicated after independent review; medium confidence.
Origin Attribution¶
Primary origin: Behavioral Economics
Origin pattern: Cross-disciplinary synthesis
Present-day reach: Multi-domain
Rationale: Regret theory joins counterfactual emotion with utility differences between chosen and forgone outcomes; economics, decision analysis, and psychology jointly shape the decomposed stakeholder table.
Related originating lineages:
- Economics & Finance — Opportunity-cost accounting contributes monetary and option-value components.
- Operations Research — Decision analysis contributes structured multi-attribute consequence comparison.
- Psychology — The psychology lineage materially shaped Regret Gap Table through memory, judgment, emotion, and behavior.
Review resolution: The blind reviewers disagreed on primary lineage. Light authoritative research resolves the defining form in favor of behavioral_economics: Regret theory joins counterfactual emotion with utility differences between chosen and forgone outcomes; economics, decision analysis, and psychology jointly shape the decomposed stakeholder table. The rejected primary is retained only when it materially shaped the mechanism, and present-day breadth is recorded separately as domain_reach=multi_domain.
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:
Notes¶
[n1] Opportunity cost — the value of the best forgone alternative; a realized regret gap is essentially the opportunity cost of the path taken, made explicit one value dimension at a time. ↩