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Build-vs-Buy Decision Template Library & Diagnostic Tool

A downloadable, industry-specific decision kit (Excel/Google Sheets + PDF guides) that walks SMB decision-makers through a structured diagnostic to score their specific situation against 20+ weighted criteria, then automatically recommends build vs. buy with confidence scoring and links to vetted SaaS options for their vertical. Sold as a one-time purchase with optional add-on modules for specific industries.

TEMPLATE

15 weeks • 70% confidence

Value Proposition

Delivers 80% of the clarity of a $10k audit for $99-$299; self-service means faster turnaround (2-4 hours vs. 2-3 weeks); reusable across multiple decisions; advisors can white-label it to add value to clients without building custom analysis each time

Target Audience

SMB founders, ops managers, and CTOs at companies with $1M-$20M revenue who are evaluating a software decision but can't afford a $10k consulting engagement; also used by accountants, business advisors, and consultants as a tool to offer clients

Key Features

  • Interactive diagnostic (30 questions across cost, timeline, customization, risk, team capacity) that scores build vs. buy likelihood
  • Automated scoring engine: input answers, get instant recommendation with confidence % and reasoning
  • Industry-specific modules (logistics, manufacturing, SaaS, professional services, healthcare) with pre-populated benchmarks and vendor lists
  • And more, with full implementation detail...

Tech Stack

Google Sheets or Excel (diagnostic, calculator, reporting) Gumroad or Notion template marketplace for distribution Figma or Canva for report design and visual templates YouTube for walkthrough videos
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Original Problem

Businesses struggle to decide between building custom software vs. buying off-the-shelf solutions, wasting time and money on the wrong choice

Technical decision-makers and business leaders face paralyzing uncertainty when choosing between developing proprietary software and adopting ready-made SaaS platforms. They lack clear frameworks to evaluate trade-offs between customization, cost, time-to-market, and maintenance burden, resulting in either expensive failed builds or purchasing solutions that don't fit their needs.

Score: 21.4% • 2 demand signals