Avatars & Personas

Three canonical user types for mabvbio.com. Use these when making content and design decisions — each persona scans for different signals and builds trust differently.

Alexandra M.

The Allocator

Alexandra M. — Life Sciences Investor

Goal: Evaluate pipeline credibility and team pedigree quickly.

Key content scanned for:

  • Headline market size reference
  • Oxford affiliation
  • Clear pipeline stage overview
  • Founder credentials

What builds trust:

  • Specific market references (Beyfortus precedent)
  • Clear USP statement
  • Institutional credibility signals
  • Restrained, non-promotional tone

Trust Breaker: Hype language, vague claims, no pipeline detail.

Dr. Wei L.

The Collaborator

Dr. Wei L. — Biopharma R&D Director

Goal: Identify whether the platform is complementary to their pipeline.

Key content scanned for:

  • Platform differentiation language
  • Mechanism of action explanation
  • Fc-engineering specifics (FcRn pathway)
  • Collaboration model / asset-light approach

What builds trust:

  • Scientific specificity without overclaiming
  • Platform vs. single-asset framing
  • Clear contact path for BD discussions
  • Oxford AI platform mention

Trust Breaker: Missing mechanism of action, non-promotional tone absent.

Dr. Priya N.

The Scientist

Dr. Priya N. — Clinical Researcher

Goal: Assess scientific approach and validate mAbV concept.

Key content scanned for:

  • Correct antibody biology terminology
  • FcRn engineering detail
  • Reference to validated comparators
  • Target / epitope selection rationale

What builds trust:

  • Precise use of immunology terms
  • Reference to Beyfortus as proof of concept
  • AI platform framed as tool, not magic
  • No regulatory or efficacy claims

Trust Breaker: Oversimplification, inaccurate scientific claims.

Avatar Usage Guide

When to reference personas

  • Before writing any new section of copy — ask "which persona does this serve?"
  • When reviewing headline options — run each against all three personas
  • When prioritising feature/section order — Allocators scan; Scientists read; Collaborators jump to mechanism

How to use for copy review

  • Red-flag any sentence that would trigger a trust breaker for any persona
  • Ensure at least one clear trust builder per persona appears above the fold
  • The Scientist is the most demanding — if it passes their filter, it satisfies all three

Persona-based content checklist

Section Allocator ✓ Collaborator ✓ Scientist ✓
HeroMarket framingPlatform mentionCorrect terminology
How It WorksOxford / AI mentionFcRn detailMechanism accuracy
PipelineStage clarityProgramme breadthTarget specificity
AboutFounder pedigreeCollaboration modelBeyfortus comparator