Your content team is consistently underperforming on lead generation targets, despite producing a high volume of content. You suspect a misalignment between content topics and target audience pain points, but a recent SEO audit suggests your current keyword strategy is sound. How would you diagnose the root cause of the underperformance and what immediate content strategy adjustments would you make, using a framework like RICE or ICE to prioritize your actions?
technical screen · 3-4 minutes
How to structure your answer
I'd apply the CIRCLES framework to diagnose the underperformance. First, 'Comprehend the situation' by analyzing lead quality, not just quantity, and conversion rates per content piece. 'Identify the customer' by reviewing buyer personas for updated pain points and content consumption habits. 'Report the problem' by cross-referencing content topics with sales feedback on common objections and successful conversions. 'Locate the root cause' by identifying gaps between content messaging and actual customer needs, despite keyword relevance. 'Execute the solution' by implementing a RICE-prioritized content strategy: 'Reach' (potential impact on lead quality), 'Impact' (alignment with buyer pain points), 'Confidence' (data-backed belief in success), 'Effort' (resources required). Immediate adjustments would focus on high-RICE scores: A/B testing content formats/CTAs, updating top-performing content with new pain point messaging, and creating targeted content for identified sales funnel gaps.
Sample answer
The SEO audit confirms discoverability, but not necessarily resonance. I'd diagnose the root cause using a MECE approach, breaking down potential issues into mutually exclusive, collectively exhaustive categories: Audience Understanding, Content Quality/Relevance, Distribution/Promotion, and Conversion Path Optimization. Given the symptom, I'd immediately focus on Audience Understanding and Content Quality/Relevance. The 'sound keyword strategy' might be attracting traffic, but the content itself may not be addressing the depth of the audience's pain points or offering compelling solutions. I'd conduct qualitative research: interviewing sales, customer success, and recent customers to uncover nuanced pain points and language. Concurrently, I'd analyze content engagement metrics beyond traffic (time on page, scroll depth, conversion rates per content piece) to identify specific content types or topics that fail to resonate.
For immediate adjustments, I'd apply the RICE framework. High 'Reach' and 'Impact' would be given to content directly addressing newly identified, high-priority pain points. 'Confidence' would be high for content formats or topics that sales teams confirm as effective in early-stage conversations. 'Effort' would prioritize quick wins. Actions would include: 1) Repurposing existing high-traffic content with new, pain-point-centric messaging and stronger calls-to-action (High RICE). 2) Developing 2-3 new, highly targeted pieces (e.g., case studies, detailed 'how-to' guides) directly addressing the most critical, underserved pain points identified (High RICE). 3) A/B testing different CTAs and content formats on existing high-performing pages to optimize conversion (Medium RICE).
Key points to mention
- • Distinction between search intent and user intent
- • Qualitative data gathering (sales, customer success, product interviews)
- • Quantitative content performance metrics beyond SEO (engagement, conversion rates, lead quality)
- • Content gap analysis based on buyer's journey and pain points
- • RICE framework application for prioritization
- • Specific content adjustments (CTA optimization, solution-oriented content, bottom-of-funnel assets)
Common mistakes to avoid
- ✗ Blaming SEO alone when the issue is content quality/relevance post-click.
- ✗ Failing to involve sales and customer success in content strategy.
- ✗ Focusing solely on top-of-funnel content and neglecting conversion-focused assets.
- ✗ Not defining clear conversion metrics for content.
- ✗ Making assumptions without data-driven diagnosis.