AI: PromptVault - Prompt Library Manager

Model: anthropic/claude-sonnet-4
Status: Completed
Cost: $3.51
Tokens: 350,607
Started: 2026-01-02 23:25

User Research & Validation Plan

Validation Objective

Validate that AI practitioners experience genuine pain with prompt management and would pay for a dedicated solution before investing in development.

Key Assumptions to Validate

Assumption Risk Validation Method Success Target
AI practitioners lose/forget prompts frequently HIGH Customer interviews + survey 75%+ experience this monthly
Current solutions (Notion, docs) are inadequate HIGH Interviews + competitive analysis 80%+ cite specific frustrations
Teams duplicate prompt work without sharing MED Team lead interviews 60%+ teams lack prompt sharing
Users will pay $19/month for prompt management HIGH Van Westendorp pricing + pre-orders 50%+ accept $19 price point
Version control for prompts is valuable MED Feature prioritization survey Top 3 most wanted feature
Multi-model testing saves significant time LOW Time-tracking prototype test 30%+ time savings demonstrated

Customer Discovery Interview Guide

Target: 25-30 interviews 60-90 minutes
Primary Personas:
  • AI engineers (15 interviews)
  • Prompt engineers (10 interviews)
Recruitment:
  • AI Twitter/LinkedIn outreach
  • r/MachineLearning, r/ChatGPT
  • AI Discord communities

Part 1: Background (10 min)

  • Tell me about your role with AI/LLMs
  • How many prompts do you use weekly?
  • What types of AI tasks do you do?
  • Do you work solo or with a team?

Part 2: Problem Deep-Dive (25 min)

  • Walk me through creating a prompt last week
  • Where do you store your best prompts?
  • Tell me about a time you lost a good prompt
  • How do you track what works vs. what doesn't?
  • What's frustrating about your current process?

Part 3: Current Solutions (15 min)

  • Show me where you keep prompts now
  • How do you organize them?
  • Do you share prompts with teammates?
  • What tools have you tried and abandoned?
  • What would make you switch tools?

Part 4: Solution Testing (20 min)

  • Show mockup: What's your first reaction?
  • Which features excite you most?
  • What concerns do you have?
  • How much would you pay for this?
  • What would convince you to try it?

Validation Experiments

Landing Page Test

Headlines to A/B test:

  • "Never lose a prompt again"
  • "Git for your prompts"
  • "Prompt management for AI teams"

Target: 5%+ signup rate

Wizard of Oz MVP

Manual service:

  • Google Form for prompt submission
  • Manually organize in Notion
  • Email digest of user's prompts

Target: 20 users, NPS >40

Pre-Order Test

Early bird pricing:

  • $99 lifetime deal (vs $19/month)
  • Stripe payment collection
  • 6-month delivery commitment

Target: 25 pre-orders

8-Week Validation Timeline

Week-by-Week Validation Plan

Week 1-2
Problem Validation
15 customer interviews • Screening survey (target 300 responses) • Assumption documentation
Foundation
Week 3-4
Solution Validation
Landing page A/B test • Waitlist building • 10 additional solution interviews • Feature prioritization survey
Demand Test
Week 5-6
Pricing Validation
Van Westendorp pricing study • Pre-order campaign launch • Pricing tier testing • Competitive pricing analysis
Monetization
Week 7-8
Prototype Validation
Wizard of Oz MVP delivery • User testing sessions • NPS collection • Feature feedback synthesis
Experience

Go/No-Go Decision Criteria

Success Metric Target Weight Status
Problem validation (interviews) 75%+ confirm pain CRITICAL ☐
Landing page conversion >5% signup rate CRITICAL ☐
Price acceptance 50%+ at $19/month CRITICAL ☐
Pre-orders collected 25+ customers HIGH ☐
MVP user satisfaction (NPS) >40 NPS score HIGH ☐

Decision Framework

GREEN LIGHT: All critical metrics hit + 2/3 high-priority metrics

PIVOT: Problem validation strong but solution/pricing weak - redesign approach

STOP: Problem validation <60% - fundamental assumption wrong

Research Synthesis Framework

Key Insights Template

  • Top 3 pain points (with user quotes)
  • Current workflow analysis (step-by-step)
  • Feature priority ranking (must-have vs nice-to-have)
  • Pricing insights (anchors, sensitivity, budget)
  • Adoption barriers (technical, organizational)

Action Items Output

  • MVP feature scope (based on validation)
  • Pricing strategy (tiers, trial length)
  • Go-to-market channels (validated acquisition)
  • Product positioning (messaging that resonated)
  • Next validation phase (post-MVP tests)

Budget & Resources

Interview incentives:
30 × $50 = $1,500
Landing page ads:
Google/LinkedIn = $800
Survey tools:
Typeform Pro = $70/month

Total 8-week budget: $2,500 + 40 hours founder time