Content Audit + 90-Day Editorial Plan
Growth & Marketing
What it tests
Ability to diagnose an existing content program, identify gaps, and build a prioritized editorial roadmap
Format
- 1Candidate receives a fictional company's existing blog, traffic data, and target ICP brief
- 2They audit the current content: identify underperforming topics, missing funnel stages, and keyword gaps
- 3They produce a 90-day editorial calendar with 12 content briefs: title, target keyword, funnel stage, format, and rationale
- 4Optional: 10-minute async video walkthrough explaining strategic choices
What to look for
- Does the audit go beyond surface metrics — do they identify structural issues (no bottom-funnel content, wrong audience)?
- Is the editorial plan tied to business goals, or is it a list of random blog topics?
- Do briefs show SEO fluency (search intent, keyword difficulty tradeoffs)?
- Is rationale explained clearly enough that a junior writer could execute without them?
Adaptation guide
Use your actual blog analytics (anonymized) instead of fictional data. Add a constraint like 'two writers, one designer' to test prioritization under resource limits.
Full description
Format:
- Candidate receives a fictional company's existing blog, traffic data, and target ICP brief
- They audit the current content: identify underperforming topics, missing funnel stages, and keyword gaps
- They produce a 90-day editorial calendar with 12 content briefs: title, target keyword, funnel stage, format, and rationale
- Optional: 10-minute async video walkthrough explaining strategic choices
Time: 120 minutes
What to look for:
- Does the audit go beyond surface metrics — do they identify structural issues (no bottom-funnel content, wrong audience)?
- Is the editorial plan tied to business goals, or is it a list of random blog topics?
- Do briefs show SEO fluency (search intent, keyword difficulty tradeoffs)?
- Is rationale explained clearly enough that a junior writer could execute without them?
Adaptation: Use your actual blog analytics (anonymized) instead of fictional data. Add a constraint like "two writers, one designer" to test prioritization under resource limits.
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