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The Healthcare-Adjacent Skeptic

Rachel

A healthcare professional who knows pharmacology, won't

Persona: Rachel — The Healthcare-Adjacent Skeptic

1. Snapshot

2. Demographics

3. Psychographics

4. Daily life rhythm

5. Past attempts ledger

Approach Outcome Takeaway
MyFitnessPal / calorie tracking Modest results "Knowing isn't enough"
WW briefly Skeptical, dropped "I don't need a coach to count"
Gym phases Some success, busy seasons kill it "Consistency is my problem, not knowledge"
Has counseled patients on Wegovy/Zepbound Professional only, but eye-opening "It actually works in my patient population"
Has watched compounded products cause issues in her workplace Strong negative "I will never use compounded"
OMA / society guidance reading Recent professional development "The evidence is now overwhelming"

The pattern: she knows the science. The barrier is professional identity ("am I the kind of person who needs this?"), not information.

6. Trigger moments

7. Jobs-to-be-done

8. Aspirational identity

"The clinician who takes care of herself the way she takes care of her patients. Who walks the talk. Who doesn't compromise on evidence — even for herself."

This is fundamentally about professional integrity alignment.

9. Self-talk (internal monologue)

10. Spoken objections (top 5)

  1. "Show me your clinical protocols. Who's the medical director?"
  2. "What's your dosing approach? Trial-aligned?"
  3. "How are side effects managed in your panel?"
  4. "Is this branded or compounded? I will not do compounded."
  5. "Are your prescribers board-certified in obesity medicine or internal/family?"

11. Hidden objections (unspoken)

The best body copy speaks to her as a clinician, not as a consumer.

12. Verbatim language (use in hooks/copy)

13. Anti-language (DO NOT USE)

14. Trigger keywords / scroll-stoppers

15. Search query patterns (GSA-ready)

Awareness (low — she's already there): - (skips most awareness queries)

Consideration: - "Wegovy telehealth FDA-approved branded only" - "GLP-1 telehealth medical director credentials" - "Wegovy vs Zepbound clinical evidence" - "branded semaglutide insurance" - "obesity medicine board-certified telehealth" - "Wegovy STEP protocol dosing"

Conversion: - "Eudaven medical director" - "Eudaven clinical protocols" - "Eudaven physicians credentials" - "Wegovy telehealth Aetna Cigna [carrier]"

16. Trust builders

17. Information sources & social proof

18. Brand affinities (calibrates voice)

One Medical · Function Health · Doximity · Apple Watch · Whoop (skeptical) · Costco · Madewell · Lululemon · Athleta · Allbirds · NYT sub · NEJM sub · Spotify (Curbsiders) · Eight Sleep (curious) · Levels (lapsed: "I prefer A1C trends")

Voice should sit in the One Medical / Function Health / Curbsiders triangle — clinically precise, professionally respectful, evidence-led, dry wit allowed.

19. Decision dynamics

20. Emotional arc

21. Story archetype

"The clinician treating herself with the same standard of care." Not a transformation. Not a redemption. A professional integrity story — she finally extends to herself what she'd offer a patient.

Best narrative shape: peer-clinician testimonial ("I'm an [RN/PharmD/etc.]. Here's what convinced me to start.")

Avoid: hero copy, aspirational lifestyle, before/after, "you deserve this" language.

22. Eudaven fit

23. Funnel stage signals

24. Channel mix (Phase 1 priority bolded)

25. Visual cues (drives image-gen prompts)

26. Offer resonance

27. Regulatory flags (persona-specific) — HIGHEST SCRUTINY

28. Source notes & diversity caveat

Composite strawman built from healthcare-adjacent professional segments, public clinical-society messaging patterns, and Doximity/Medscape engagement research.

Diversity caveat: This v0.1 skews white, RN/PA-credentialed, suburban. Real research will likely require: - Black women in healthcare (different professional-network dynamics, often preference for Black physicians, AAFP/NMA messaging cues) - Latina healthcare professionals (similar) - Male healthcare professionals (~30% of segment) — different proof hierarchy, often physician-skewed - Lower-credential variant (LPN, MA, hospital ops) — same evidence-skepticism, different income/cost sensitivity - Physician variant (rare but high-LTV) — even higher scrutiny, different professional society cues, peer-only credibility

Validate against: real customer interviews (target 15+ due to higher diligence per intake), Doximity audience insights (Phase 3), professional society engagement data, intake survey on credential.

Treat as v0.1 — refresh by month 3.

How to use

Persona detail

The full source-of-truth doc for one persona. This exact content is what gets injected into the brief_synthesizer system prompt.

Document structure

28 structured fields, grouped into:

  • Identity — demographics, segment tag, one-liner
  • Pain & promise — what they struggle with, what we promise
  • Objections — what they push back on (and how to answer)
  • Voice cues — words they use, words to avoid
  • Visual casting — used by visual_direction to bound the imagery

How to edit

  1. Edit data/kb/personas/<slug>.md.
  2. Run make kb-seed to re-parse + persist.
  3. Next brief synthesis for this persona will use the new content.

Threshold reminder

The brand_scorer enforces a per-persona threshold. If you tune this persona to be more sensitive (e.g., medical/legal scrutiny), bump the threshold in app/pipelines/nodes/brand_scorer.py.