Scorecard and considerations
A candidate's evaluation after the interview, how its result is calculated and which label it gets.
In Spanish: Scorecard and Consideraciones. Together they're the evaluation (evaluación).
What it is
A candidate's evaluation has two parts, and both go into the client report:
| What it asks | Does it score? | |
|---|---|---|
| Scorecard | Are they the professional the client needs? | Yes: from 1 to 5 on each evaluation criterion |
| Considerations | What does the client need to know before deciding? | No |
The scorecard
One row for each of the job post's evaluation criteria, with a score from 1 to 5 and a comment. Each criterion has its weight: High, Medium or Low. The result shows at the top, out of 5.
Considerations
Unscored observations the client sees in the report, each with its type:
| Type | What for |
|---|---|
| Requirement exception | You're presenting someone who fails a must-have requirement, and you say why |
| Gap | Something they're missing |
| Risk | Something that could go wrong |
| Data reliability | Something that couldn't be fully confirmed |
| Compensation | What they're asking for or what was negotiated |
What it's for
Putting in writing, after the interview, how good the candidate is for the role, with a number you can compare across candidates. Considerations say what a number can't.
Where you see it
In the candidate's Evaluation tab, in the ATS. It saves itself.
| Action | What it does |
|---|---|
| Generate scores and comments | The AI proposes the scorecard from an interview |
| Adopt | Accepts a proposal, or Adopt the proposals, all together |
| Draft with AI | Proposes the recommendation rationale, which the client reads |
| Confirm or dismiss a consideration | Before the report, each one has to be reviewed |
The recommendation label shows in the report.
What it gets mixed up with
| Mixed up with | The difference |
|---|---|
| The Match score | It measures the profile before talking to the candidate. The scorecard, what you saw in the interview |
| A note or a comment | They're internal. The client reads a consideration. See Tag, label, note and comment |
| A must-have criterion | Evaluation criteria never disqualify: they only weigh |
Why it works this way
There's no "doesn't apply". A criterion without a score is pending, not an opinion. To generate the report, they all need a score: if something couldn't be fully established, you put the number and say so in the comment, or add it as a consideration.
A partial result is marked as partial. The easy criteria usually get scored first, so a partial tends to come out higher than the final one, and a number without a warning misleads too early.
A requirement exception doesn't lower the label. They're two different things: how good they are, and whether they meet the minimums. Mixing them would put a 4.2 with an exception on the same level as a clean 3.2.
How it's calculated
Result = the sum of score × weight, divided by the sum of the weights, over the criteria that have a score.
Weights are worth High, 3. Medium, 2. Low, 1.
Example: 4 on High, 5 on High, 4 on High, 4 on High, 4 on Medium and 4 on Low. (12 + 15 + 12 + 12 + 8 + 4) ÷ 15 = 4.2 out of 5.
The result is also shown as a percentage, which starts at the bottom of the scale, because the worst score is 1 and not 0:
Percentage = (result − 1) ÷ 4. A 4.2 gives 80%.
With unscored criteria, it's calculated over the scored ones and marked: 4.1 / 5 · partial · 4 of 6.
The recommendation label comes from the result and the job post's recommendation threshold, which starts at 3.5:
| Result | Label, with the threshold at 3.5 |
|---|---|
| Threshold + 1 or more | Strongly recommended, from 4.5 |
| Threshold or more | Recommended, from 3.5 |
| Threshold − 0.5 or more | Recommended with reservations, from 3.0 |
| Below | Not recommended |
The threshold is changed in the job post settings.