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Blazej Mrozinski
v0.11.12 April 27, 2026

Blog: Talent Archetypes 3-post series (scheduled 2026-04-30, 2026-05-02, 2026-05-04)

Three-part series sourced from two internal client deliverables (psychometric work for an enterprise IT services firm and a consumer-tech company), staggered across two weeks.

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  • Three-part series sourced from two internal client deliverables (psychometric work for an enterprise IT services firm and a consumer-tech company), staggered across two weeks. The daily Cloudflare rebuild cron picks each post up at the UTC threshold of its frontmatter date.
  • All three posts labelled `research`. All three flagged `safety_review: true` in source until publish; clients are abstracted as Org A and Org B in the post body, with brand-specific value names from Org B translated to standard psychometric construct labels (Resilience, Growth Mindset, Bias for Action, Ownership, Trust-Building).
  • Internal cross-links: each post forward and backward references the others; all three reference the published [employee-engagement post](/blog/measure-employee-engagement-custom-psychometric-work) for methodology context.
  • Glossary cross-links to construct-definition, discriminant-validity, ceiling-effect, forced-choice-assessment, structural-equation-modeling, and psychometric-assessment.
  • Charts produced via `scripts/make-talent-archetypes-charts.py` in ContentForge using the same matplotlib pipeline as the engagement post charts.
  • Combined Ahrefs research across all three posts (1,333 units): primary keywords "personality types in the workplace" (Post 1, vol 100, KD 5, TP 450), "hipo development" (Post 2, vol 100, KD 0, TP 250) and "high potential employee program" (Post 2 secondary, vol 70, KD 3, TP 200), and "personality assessment for hiring" (Post 3, vol 80, KD 7, TP 90). Post 1 also targets "employee development plan" (vol 1,700, KD 9, TP 1,400) as a secondary head term for the L&D allocation half of the post.
  • The series occupies a niche topical space; head-term volume is small, and the high-volume adjacent keywords (e.g., "personality clusters" at 800 vol) have wrong intent (clinical psychology). Optimization is light: keyword in title and meta description, secondary terms in H2s where they fit naturally, no voice distortion.
  • Full SEO research and rejected-candidate notes archived in ContentForge at `seo/2026-04-27-talent-archetypes-series.md`.