A scorecard is a rubric filled in for one specific founder, candidate or company: it records a score and the supporting evidence for each criterion, then rolls them up into an overall result and recommendation that a team can compare, discuss and revisit later.
What goes on a scorecard
A scorecard is the output of applying a rubric to one person or company. A good one has four parts:
- Header. Who or what was assessed, by whom, on what date, at what stage (first meeting, final interview).
- Criterion rows. For each criterion: the score, the evidence that earned it, and anything still unknown.
- Overall result. A weighted total or a band, calculated from the rows rather than picked separately.
- Recommendation. Advance, discuss, or decline, with one sentence on why.
The evidence column is what separates a scorecard from a set of ratings. "Traction: 4" tells the next reader nothing. "Traction: 4, three paying customers at roughly 2,000 dollars a month each, per the founder's dashboard" can be checked and challenged. That habit is the core of evidence-based scoring.
The word also has a management meaning: the scorecard as a performance report, as in Kaplan and Norton's balanced scorecard. This page is about scorecards used to assess people and companies. Procurement teams use the same format for vendor scoring.
Why scorecards matter in interviews and deal reviews
A scorecard completed before the debrief is a record of what each reviewer thought on their own. Once the group starts talking, the most senior or most confident voice tends to pull everyone toward it. Olivier Sibony describes this in a McKinsey interview on noise: when the boss speaks first, the rest of the room gradually converges to the boss's answer. The CIPD's guidance on selection is for interviewers to score each candidate response independently before discussing candidates as a group. Scorecards make that practical.
Scorecards are the standard output of a structured interview, where, as OPM puts it, every response is judged on the same rating scale. In venture capital, the deal scorecard from a first meeting often becomes the skeleton of the investment memo, so each claim in the memo already has its evidence attached.
Example: a VC deal scorecard
A partner at the fictional Northwind Ventures fills in this scorecard after a first meeting with Ledgerly, a fictional Series A fintech.
| Criterion | Weight | Score | Evidence |
|---|---|---|---|
| Founding team | 30% | 4 | CEO ran payments operations at a mid-size bank for six years; CTO built the ledger at a previous startup |
| Traction | 25% | 3 | Annual recurring revenue of 1.1 million dollars, growing 9% a month for six months; one customer is 40% of revenue |
| Market | 20% | 4 | Mid-market finance teams; founder's sizing is credible but untested outside the US |
| Thesis fit | 25% | 5 | Core to the fund's infrastructure-for-finance thesis |
| Weighted total | 100% | 4.0 | Recommendation: advance; diligence customer concentration first |
The total is 0.30 x 4 + 0.25 x 3 + 0.20 x 4 + 0.25 x 5 = 4.0. The unknown worth noting (customer concentration) is already flagged as the first diligence question.
Scorecard vs rubric vs fit score
| Scorecard | Evaluation rubric | Fit score | |
|---|---|---|---|
| What it is | One assessment, filled in | The blank standard for a decision type | A single number for how well one profile matches a target |
| How many | One per person or company per review | One per role or strategy | One per profile, recalculated as evidence changes |
| Contains evidence | Yes, per row | No, only descriptions of levels | Only if it links back to a scorecard or record |
Common scorecard mistakes
- Filling it in after the debrief. It then records the group's view, not the reviewer's.
- Picking the overall score by feel. If the total does not follow from the rows, either the rows or the weights are wrong.
- Empty evidence cells. A score with no evidence cannot be argued with, and it fails any later check on auditability.
- Treating unknown as average. Mark it unknown, so it becomes a question for the next round.
- Losing it. A scorecard in an inbox can't inform the next decision. Keep it with the person or company.
How ScoringFactory approaches scorecards
ScoringFactory produces a scorecard for every founder, company or candidate in the pool, each row cited to the line in the record it came from, and keeps those scorecards with the person over time so the next meeting starts from what the team already knows. Your team reviews them and makes the call. See the flow.
Frequently asked questions
What is an interview scorecard?
An interview scorecard is the form an interviewer completes for one candidate after one interview. It lists the criteria for the role, the score given on each, the answers or work that justify the score, and a hire or no-hire recommendation. Interviewers should submit it before talking to the rest of the panel.
What goes on a VC deal scorecard?
Usually the founding team, traction, market, product, and fit with the fund's thesis, each with a score and a line of evidence, plus a weighted total and a recommendation. Many funds add open questions for diligence. The criteria should match the stage, since a pre-seed scorecard cannot weigh revenue the way a Series B one does.
How do you turn a scorecard into a single score?
Multiply each criterion's score by its weight and add the results. With weights of 30, 25, 20 and 25 percent and scores of 4, 3, 4 and 5, the total is 4.0 out of 5. Some teams also set floors, such as no criterion below 2, so one strong row cannot hide a serious weakness.
Should scorecards be shared with the whole panel?
Yes, but only after everyone has submitted their own. Reading a colleague's scores first anchors your judgment to theirs. Once all scorecards are in, laying them side by side shows exactly where reviewers disagree, which is the most useful place to spend the debrief.
Sources
- Structured Interviews, U.S. Office of Personnel Management, current text
- Sounding the alarm on system noise (interview with Daniel Kahneman and Olivier Sibony), McKinsey & Company, 2021
- Selection methods (factsheet), CIPD, 2026