The risk accumulated without research belongs in budget decisions
Aliases: research debt · evidence debt · cumulative decision risk
What it is
Research debt is uncertainty accumulated by repeated decisions without user evidence, measurement foundations, or reusable records. It is not a count of unfinished studies. Untested assumptions become embedded in products, workflows, and metrics, making later decisions harder to diagnose and more expensive to reverse.
Why it happens
One untested assumption becomes a dependency for later design, while product changes obscure the original cause. Without maintained panels, event definitions, and baselines, every urgent study rebuilds infrastructure. Budgets that count only current sessions omit rework, opportunity loss, and prolonged exposure to risk.
Studying it
Maintain a claim-and-decision ledger with evidence age, population, counterexamples, dependent decisions, and failure consequences. Compare rework, rollback, support cost, and decision time across projects with different research continuity while accounting for team maturity and complexity. Audit whether critical assumptions still have current evidence.
Where it stops holding
Not every unknown deserves repayment. Low-consequence, reversible, observable decisions can retain uncertainty. Old evidence can expire as products, markets, or policy change, and large archives are not automatically reusable knowledge. Research debt is a governance metaphor, not a precisely additive financial liability.
Applying it
- Inventory assumptions with high dependency, consequence, and evidence age.
- Include rework, incidents, churn, and opportunity cost in research budget cases.
- Invest in reusable recruitment frames, metric definitions, data dictionaries, and decision records.
- Review quarterly, deleting obsolete claims and retesting high-risk ones.