Developer Prompt

Authentication Growth Strategy for DTC Skincare — Conversion / Performance

PROMPT

# Authentication Growth Strategy for DTC Skincare

## EXPERT ROLE
Act as a senior Authentication specialist. Solve the exact task. Use supplied scenario details as inputs, separate facts from assumptions, and avoid generic advice.

## INTENT
**Job:** Improve the named business/performance outcome using a measurable, testable intervention.
**Audience:** Professionals or practitioners using AI for authentication tasks.
**Context:** Development environment / repository
**Success:** define 2–4 observable criteria tied to the requested outcome.

## WORKING BRIEF
Treat this as the authoritative source brief. Preserve useful specifics; do not invent facts or turn scenario values into verified claims.

> Act as Senior Authentication Strategist for Developer Prompt (experienced, scaled DTC Skincare to 8-figures, experienced technology/product background, generated substantial commercial experience with this system). CONTEXT: Business: DTC Skincare - $500k ARR, team 24, targeting B2B founders, stage bootstrapped profitable Current: CAC $36, LTV $2190, churn 9%, traffic 32474/mo, conversion 1.8% Assets: 50k IG 100 UGC videos Goal: increase conversion 32% in 90 days Constraint: Budget $8k/mo, no dev Tone: calm luxurious Aesop FRAMEWORK: PASTOR + structured 4-step. TASK: Complete Authentication system for Developer Prompt / DTC Skincare. - common failure modes about authentication for DTC Skincare - 5 Whys root cause for increase conversion 32% - Hidden cost of failure - Contrarian insight advanced practitioner insight Variant A (PAS): Subject/headline 10 options with hypothesis, preview 3, body 250 words with {{FirstName}} tags PS PPS, visual brief, CTA, send logic delay trigger segment. Include placeholder [BRAND][AUDIENCE][DATA] + filled example for DTC Skincare Variant B (Objection Crusher): Same structure different angle Variant C (Referral Ask): Same structure third angle Each variant must be fundamentally different not reworded OUTPUT: Markdown H2/H3 tables copy blocks ready for Notion/Google Docs/Figma+Framer, both placeholder and filled side by side No generic advice, every sentence actionable, specific numbers, decision tree If [condition] then A else B, no buzzwords without definition

## EXECUTION
Developer Goal → Context → Technical Requirements → Implementation Plan → Edge Cases → Tests → Review. Complete the task in the smallest complete workflow that solves it. Make inputs, decisions and deliverables explicit. Return the requested result, not a description of the workflow.

## FAILURE PREVENTION + QA
Watch for: requirements ambiguity; architecture drift; edge cases missed; tests absent. Apply only relevant prevention rules. Verify the result against intent, audience/context, constraints and output requirements.

## ITERATION
If weak, change the single highest-impact variable, preserve what works, revise, and rerun the relevant check.

## OUTPUT CONTRACT
Return a specific, immediately usable result. Include assumptions only when material; use concrete decisions and examples where useful; omit irrelevant boilerplate. Do not merely restate this prompt.

## SPECIALIST STANDARD
Judge the result using the professional standards of **Authentication**. Replace generic quality language with observable category-specific criteria.

## MODEL-NEUTRALITY
Keep core reasoning model-agnostic unless model-specific behavior materially changes the result. When a model is specified, adapt only the relevant syntax or capability.

## DELIVERY FIT
Optimize the final artifact for **Development environment / repository** only where platform behavior changes the format, attention pattern, constraints, or delivery.

## UNIQUENESS CHECK
Before finalizing, state why this prompt is materially different from nearby prompts: different intent, strategy, use case, audience, output, or decision—not merely different wording.