Sample project: fictional dataSaved example · reviewed 28 September 2026

Interview Questions & Scoring

Get interviewers agreeing what a strong answer looks like

Role-specific questions, follow-up probes and observable scoring criteria, with a fictional answer scored against the rubric so you can see how it is applied.

Build an interview pack for my roleOpening the agent does not run it or spend credits.

What the agent was given

Role
Senior Customer Success Manager
Seniority
Senior individual contributor
Interview length
60 minutes
Focus
Retention, escalation handling, commercial conversations
Guidance level
Plain English (non-specialist interviewers)

What came back

4

competencies, each with its own scoring anchors

11

questions with follow-up probes, timed to a 60-minute interview

3

behavioural anchors per competency, what weak, adequate and strong actually sound like

What the pack is built around

Competencies

  • Retention and renewal ownershipRequired
  • Escalation handling under pressureRequired
  • Commercial conversationsRequired
  • Cross-functional influenceOptional

Questions hang off competencies rather than topics, so two interviewers covering the same competency are assessing the same thing.

Shown in full, competency 1 of 4

Retention and renewal ownership

Q18 minutes

Tell me about a renewal you thought you were going to lose. What was the first signal, and what did you do about it?

If the answer stays general, probe with

  • What made you act at that point rather than earlier or later?
  • Which part of that was yours, and which part was someone else's?
Q26 minutes

Describe an account where the relationship was healthy but the usage data was not. How did you reconcile the two?

If the answer stays general, probe with

  • What did you check first?
  • What would have changed your mind?

The part that makes scores comparable

Scoring anchors for this competency

Weak

Describes the account's problem but not their own actions. Speaks in terms of what 'we' or 'the team' did, with no decision they personally owned.

Adequate

Names specific actions they took and the sequence they took them in. Can say what the outcome was, but not what signal prompted them to act when they did.

Strong

Identifies the leading indicator they acted on before the risk was obvious, the trade-off they made, and what they would do differently. Distinguishes their contribution from the team's.

Anchors describe what the interviewer can observe in the answer, not how impressive the candidate seemed. That is the whole mechanism: two interviewers reading the same anchor and hearing the same answer have something concrete to disagree about.

Added for this example. Not agent output.

A fictional answer, scored against the anchors above

“We had an account, mid-size, about £40k, where the sponsor who bought the product left. I saw their weekly active users drop about three weeks before anyone flagged it, because I check the usage dashboard on Mondays. I asked for an introduction to the new owner before the renewal conversation, not during it, and I went in with what their team had actually been using rather than a full pitch. We renewed at the same value. Looking back I should have asked for that introduction in the first week, not the third, I waited to see whether usage recovered on its own, and it cost me two weeks of the runway.”
StrongAssessed against the anchors above
  • Leading indicator: named a specific signal (weekly active users) and the routine that surfaced it, three weeks before the organisation noticed.
  • Trade-off: chose to approach the new sponsor before the renewal rather than during it, and can say why.
  • Own contribution: uses “I” for the decisions and “we” only for the outcome.
  • Would do differently: identifies the two-week delay as their own misjudgement, unprompted.

An Adequate version of this answer would describe the same actions and the same outcome, but start at “the sponsor left, so I asked for an introduction”, with no account of what prompted the timing.

Assumptions and limits (4)
  • One competency is shown in full. A generated pack covers three to six competencies and eight to fourteen questions, sized to the interview length you set.
  • The candidate answer and its worked assessment are editorial, written for this page. They are not agent output and are labelled where they appear.
  • Scoring supports interviewer judgement against observable criteria. It does not rank real applicants, score candidates automatically, or make hiring decisions.
  • Questions should be reviewed against your own role and legal obligations before use in a live interview.

Why this matters

Most interview preparation stops at the questions. Two interviewers can ask an identical question, hear an identical answer and record very different scores, because nothing written down says what a 3 looks like as opposed to a 5. That disagreement usually surfaces at the debrief, when it is expensive. It is also the reason structured interviewing consistently outperforms unstructured interviewing on predictive validity.

Read the rest of the background

Taligent turns a role or a job specification into an interview pack built around competencies rather than topics. Each competency carries questions, follow-up probes for when an answer stays at the level of intention rather than action, and behavioural anchors describing what weak, adequate and strong evidence actually sounds like. Interviewers score against the anchors, not against each other's instincts, and the pack keeps a record of why a score was given.

The example below shows one competency in full, including a fictional candidate answer and how the rubric applies to it. The answer and its assessment are editorial additions written for this page, and they are shown in a marked panel so you can tell them apart from the agent's own output. The rubric supports an interviewer's judgement; it does not rank applicants or make a hiring decision.

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