Grant guide
Match score: a triage signal, not a funding prediction
A match score helps prioritise opportunities. It should explain why a grant may fit an organisation, not pretend to predict a funder's final decision.
Teams deciding where to spend application time
Teams using AI-assisted funding matching and deciding which opportunities deserve review time.
Make the first review more concrete
Understand what a grant match score means and how to use it.
Review workflow
What FundingLens helps you do
Keep source facts, caveats and next actions together so your team can decide what deserves attention before application work starts.
Score hard blockers first: applicant type, geography, project scope, eligible costs, deadline and minimum evidence.
Then review softer fit signals such as strategic alignment, beneficiaries, delivery capacity, budget realism and evidence strength.
Keep match score, confidence score and human review status separate so teams can see both fit and uncertainty.
Readiness checks
- Eligibility blockers checked before fit scoring.
- Source criteria cited beside the score.
- Budget, deadline and readiness risks included.
- Confidence and caveats shown separately.
- Human review required before application decisions.
Eligibility caveats
- A match score is not an award prediction.
- Funders may reject eligible, high-quality applications because demand exceeds budget.
- Scores should change when source facts, deadlines or organisation profiles change.
Source references
Use the grants standard to show why competition criteria should be clear, pre-set and tied to the funder's objectives.
Official sourceGOV.UK Common Ground scoring frameworkUse this official scoring framework as an example of pre-set criteria and structured assessment, not as a promise of outcome.
Official sourceUKRI STFC assessment criteriaUse the research-funding criteria as a source-backed example of how funders can assess excellence, impact, delivery and resource fit.
Related FundingLens pages
Use opportunity scoring to triage grants by eligibility, strategic fit, deliverability, budget risk, evidence strength and deadline readiness.
Matching and scoringAI grant matching that keeps source facts visibleAI-assisted grant matching for organisations that need source-cited fit reasoning, confidence, caveats and human review status.
Grant eligibilityGrant eligibility: what funders usually checkUnderstand grant eligibility as a source-backed review of applicant type, geography, project fit, eligible costs, deadlines and evidence.
Grant guideConfidence score: how much evidence supports a funding matchUnderstand confidence scores in AI grant matching as evidence-quality signals for source completeness, ambiguity, freshness and review need.