Interview scorecard template

User-Generated Content (UGC) Monetization Specialist interview scorecard

Evaluate User-Generated Content (UGC) Monetization Specialist candidates across 4 weighted areas: campaigns that performed, measurement and testing, audience and segmentation, and working with the business. Campaigns that performed leads at 30%, so check which UGC campaigns they scaled: Spark Ads, Meta Partnership Ads whitelisting, affiliate storefronts. Ask for creative volume per. Use the rubric to compare role-specific evidence consistently.

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TL;DR
For campaigns that performed, look for evidence the candidate names specific creator campaigns with spend levels, hook variants tested, and ROAS or CPA improvements traced to UGC over studio assets. For measurement and testing, look for evidence the candidate runs structured creative tests with clean naming and statistical discipline; separates organic creator lift from paid spend credibly. Apply the written 1–5 anchors to every answer, record the evidence behind each rating, and use the factor weights to reach a consistent overall assessment.
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 UGC campaigns they scaled: Spark Ads, Meta Partnership Ads whitelisting, affiliate storefronts. Ask for creative volume per month, spend managed, and ROAS or CPA movement.

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 creator campaigns with spend levels, hook variants tested, and ROAS or CPA improvements traced to UGC over studio assets.

02
Evaluation factor

Audience and segmentation

25% weight

Probe how they match creator archetypes to buyer segments: TikTok Shop shoppers versus Meta retargeting pools, and how briefs shift by persona or price point.

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

Maps creator casting to defined audience segments and shows how brief angles, hooks, and offers changed by segment with results.

03
Evaluation factor

Measurement and testing

30% weight

Test measurement rigour: creative testing frameworks, holdouts, post-purchase surveys, UTM and Spark Ad code hygiene, and how they attribute creator revenue versus paid amplification.

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

Runs structured creative tests with clean naming and statistical discipline; separates organic creator lift from paid spend credibly.

04
Evaluation factor

Working with the business

15% weight

Assess handling of rights and usage: paid media licence terms, FTC disclosure, whitelisting access, creator payment tiers, and coordinating legal, finance, and ecommerce teams.

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

Describes negotiated usage windows and commission structures, keeps disclosure compliant, and manages creator payouts without finance or legal escalations.

Evidence-led prompts

Interview questions for a User-Generated Content (UGC) Monetization Specialist

Use these prompts to surface evidence for the weighted factors above and compare candidates against the same role-specific criteria.

  1. 01

    What experience do you have managing and monetizing user-generated content?

  2. 02

    Can you give examples of successful UGC campaigns you have worked on?

  3. 03

    Can you discuss a time a UGC campaign did not go as planned and how you handled it?

  4. 04

    Describe your method for identifying and working with creators for UGC campaigns.

  5. 05

    What strategies do you use to encourage users to create high-quality content?

See the complete User-Generated Content (UGC) Monetization Specialist question set
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