Concierge MVP with Scalable Manual Operations
Designs a concierge MVP where the service is delivered manually for maximum learning.
Structure a Concierge MVP that delivers real value to early customers through manual processes, enabling deep learning about the problem before automating.
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Prompt objective
Structure a Concierge MVP that delivers real value to early customers through manual processes, enabling deep learning about the problem before automating.
Real use case
NutriPlan wants to create an AI-powered meal planning app. Instead of spending [BUDGET] on development, the founder—a nutritionist—will serve the first 20 customers manually via WhatsApp, simulating what the app experience would be, charging [PRICE]/month to validate willingness-to-pay.
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Prompt
Design a Concierge MVP for [STARTUP NAME], which intends to offer [FINAL PRODUCT/SERVICE] but will start delivering value manually. **Context:** - Ideal final product: [DESCRIPTION] - Target audience: [AUDIENCE] - Target price for final product: $[AMOUNT] - Manual service capacity: [NUMBER] concurrent clients - Available tools: WhatsApp, Google Sheets, Notion, email **1) Manual Experience Design:** *Customer journey (step-by-step):* - How the customer discovers the service - Onboarding process (initial form, welcome call) - Core service delivery (frequency, channel, format) - Follow-up touchpoints - Feedback and NPS collection *What to simulate from the final product:* - Features that will be done manually (list) - What the customer perceives vs. what happens behind the scenes *What NOT to do in the concierge:* - Features that can wait - Premature automation **2) Backend Operations:** - Daily operator workflow (time-blocking) - Message templates for each touchpoint - Control spreadsheets (clients, deliveries, metrics) - Quality checklist per delivery - Estimated time per client per week **3) Pricing and Monetization:** - Concierge price (typically [PERCENTAGE]% of final price) - Justification: early adopter discount, exclusive access, direct feedback - Payment model: bank transfer or payment link (Stripe/Mercado Pago for Brazilian market) **4) Learning Metrics:** - 10 questions the concierge must answer - Minimum acceptable NPS - Month 1 → Month 2 retention rate - Most requested features (to prioritize in real product) - Time per client (to calculate automation viability) **5) Graduation Criteria:** - When to stop the concierge and start building - Which processes to automate first (highest volume + lowest complexity) - Transition plan: concierge → semi-automated → product **6) Concierge Risks:** - Founder burnout (limit client count) - Manual experience vs. final product (expectation gap) - Personal dependency (how to document for delegation)
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