Interview scorecard template

AI Content Specialist interview scorecard

Pre-screening scorecard for AI Content Specialist candidates.

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Complete evaluation framework

What to assess and how to score it

Review the evidence signals before interviewing. Then use the anchored descriptions—not instinct alone—to choose the score that best matches each answer.

01
Evaluation factor

Campaigns that performed

30% weight

Check which AI-assisted content actually published: blog clusters, product pages, newsletters, video scripts. Ask for traffic, ranking or conversion numbers and the tools used (ChatGPT, Claude, Jasper, Surfer).

Evidence to listen for

  • Names campaigns or programmes they ran, with the metric they moved and the baseline it moved from
  • Distinguishes their own work from the team's or the agency's
  • Knows the audience and the offer, not just the channel
  • Can describe a campaign that failed and why

Five-point scoring guide

1
Poor

No numbers; describes activity rather than results.

2
Needs Improvement

Vanity metrics only; attribution to their own work is unclear.

3
Satisfactory

Real campaigns with some numbers; baselines often missing.

4
Very Good

Named campaigns with metric, baseline, and clear personal ownership.

5
Excellent

Names specific published pieces with before and after organic traffic or conversion figures, and states which parts were model-generated versus human-rewritten.

02
Evaluation factor

Audience and segmentation

25% weight

Probe how they adapt tone for distinct segments and channels: technical buyers versus consumers, LinkedIn versus lifecycle email. Ask how brand voice guidelines get encoded into prompts or style files.

Evidence to listen for

  • Describes real customer segments and what differs between them, not demographic guesses
  • Has built lifecycle stages, journeys, or nurture logic that reflect actual behaviour
  • Knows where the audience data comes from and its limits
  • Writes for the segment rather than for everyone

Five-point scoring guide

1
Poor

One message for everyone; no segmentation thinking.

2
Needs Improvement

Segments by demographics only; no behavioural insight.

3
Satisfactory

Workable segmentation; lifecycle logic is basic.

4
Very Good

Behaviour-driven segmentation and lifecycle design with evidence behind it.

5
Excellent

Describes maintaining a documented brand voice system, custom instructions or fine-tuned templates, with examples of rewriting one asset for different segments.

03
Evaluation factor

Measurement and testing

30% weight

Test their approach to headline and format testing, plagiarism and hallucination checks, and metrics they own: dwell time, indexed pages, assisted conversions in GA4 or HubSpot.

Evidence to listen for

  • Tests deliberately rather than changing everything at once
  • Understands attribution limits and does not overclaim
  • Knows what sample size and duration a test needed
  • Can name a test whose result contradicted what they expected

Five-point scoring guide

1
Poor

No testing; claims credit for correlation.

2
Needs Improvement

Runs tests but reads them badly; overclaims attribution.

3
Satisfactory

Tests sensibly; rigour drops under deadline pressure.

4
Very Good

Disciplined testing with honest attribution and a result that surprised them.

5
Excellent

Cites specific tests with sample sizes and outcomes, plus a fact-checking and citation workflow that caught real model errors before publication.

04
Evaluation factor

Working with the business

15% weight

Assess how they work with SEO, product, legal and subject matter experts: brief intake, review cycles, AI disclosure policy, and handling editors who distrust generated drafts.

Evidence to listen for

  • Works with sales, product, or operations rather than throwing campaigns over a wall
  • Briefs designers and writers well enough to get usable work
  • Manages agencies or freelancers to a standard
  • Reports results to leadership without spin

Five-point scoring guide

1
Poor

Works in isolation; reports only flattering numbers.

2
Needs Improvement

Limited coordination; briefs are thin.

3
Satisfactory

Coordinates adequately; reporting is honest if basic.

4
Very Good

Strong partner to sales and product; briefs and reports clearly.

5
Excellent

Shows a repeatable editorial workflow with named collaborators, SME interview habits, and a clear position on AI disclosure and content governance.

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