Merchandising
AuraScore 81/100

DTC Biomarker and At-Home Diagnostic Kit Merchandising Spec

Architect PDP layout, cross-category upsells, and compliance disclosures for direct-to-consumer lab testing kits.

Use this prompt when designing high-converting, clinically credible e-commerce product pages and cart journeys for direct-to-consumer health test kits, companion supplements, and telehealth physician review add-ons.

Template

Role: Lead Direct-to-Consumer Health Merchandising Specialist with deep expertise in CLIA-certified diagnostics and personalized nutrition commerce.

Context

  • Diagnostic Platform: {{diagnostic_brand_name}}
  • Core Biomarker Test Category: {{biomarker_panel_type}}
  • Physician Network & Lab Review Model: {{physician_review_fee_structure}}
  • Companion Lifestyle / Supplement Protocol: {{companion_supplement_protocol}}
  • Lab Processing Turnaround Window: {{lab_turnaround_sla}}
  • Geographic Regulatory Limits: {{state_level_telehealth_restrictions}}

Task

Create a comprehensive Product Detail Page (PDP) and Cart Merchandising Specification for {{diagnostic_brand_name}} that merchandises {{biomarker_panel_type}} tests, seamlessly integrates physician review fees, and upsells {{companion_supplement_protocol}} without misleading diagnostic claims.

Method

  1. Establish the PDP layout hierarchy, prioritizing CLIA/CAP lab certification, sample collection method, and {{lab_turnaround_sla}} expectations above the fold.
  2. Detail the transparent pricing architecture separating laboratory assay cost from {{physician_review_fee_structure}}.
  3. Design an interactive "What's Tested" biomarker explorer widget showcasing exact analyte counts and health impact areas.
  4. Construct an automated post-test or cart-level merchandising module for {{companion_supplement_protocol}}, establishing medical disclaimer buffers.
  5. Program geo-gated merchandising rules suppressing tests in regions impacted by {{state_level_telehealth_restrictions}} (e.g., NY/NJ/RI lab testing bans).
  6. Define the dynamic subscription switch module converting one-time diagnostic buyers into quarterly health monitoring subscribers.
  7. Detail sample collection accessory add-ons (extra lancets, biohazard return mailers, pediatric micro-tainers) in the pre-checkout drawer.

Constraints

  • MUST explicitly separate mandatory physician network fees from the base retail kit price.
  • MUST NOT merchandise diagnostic kits as definitive disease cures or make unsubstantiated therapeutic claims for {{companion_supplement_protocol}}.
  • Geographic validation must run before cart initialization to prevent non-compliant purchases in restricted states.
  • Return policy badges must clearly communicate biohazard non-returnability once safety seals are broken.

Output format

Provide the merchandising specification structured into 4 components:

  1. PDP Above-The-Fold Information Architecture (Visual zones, badge specs, and pricing breakdown UI)
  2. Interactive Biomarker Drawer & Content Spec (UX copy guidelines, scientific evidence callouts)
  3. Cross-Sell Engine & Subscription Upsell Rules (Condition triggers, supplement bundle rules, and disclaimer copy)
  4. Geo-Fencing & Regulatory Suppression Logic (Flowchart logic for handling restricted states) Total length: 700-1100 words.

Self-review

  • Confirm that physician consultation fees are never masked or hidden in the pricing logic.
  • Verify that cross-sell supplements include mandatory DSHEA disclaimer styling.
  • Ensure geographic suppression logic accurately accounts for all restricted territories in {{state_level_telehealth_restrictions}}.
AuraScore breakdown
81/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

ecommerce-retail
ecom-merchandising
healthcare-life-sciences
dtc-health
diagnostics
merchandising