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Build/Buy Decision Scorecard (Plug-in + Template Library)

A Slack/Teams bot + Notion/Airtable template that lets engineering teams crowdsource and track build vs. buy decisions in real-time. Teams log candidate solutions, run structured evaluations (cost, integration, team fit, timeline), vote, and the bot surfaces consensus + dissent. Integrates with their existing vendor data (pricing, reviews, customer counts) via API calls to G2, Capterra, and vendor websites. Outputs a decision memo with reasoning, dissent notes, and 90-day review schedule.

PLUGIN

17 weeks • 70% confidence

Value Proposition

Replaces email threads and Slack chaos with a structured, auditable decision log. Teams make decisions 3x faster because criteria are pre-loaded and voting is async. Reduces buyer's remorse by forcing teams to document dissent and assumptions upfront. Costs $99-299/month vs. $35K for a consultant, so it's accessible to smaller companies and used for lower-stakes decisions (e.g., logging tool, analytics platform, payment processor) that don't warrant a full audit.

Target Audience

Engineering teams at 20-200 person companies (startups, scaleups) making frequent tool/platform decisions; CTOs who want to democratize build vs. buy decisions and reduce analysis paralysis within their team

Key Features

  • Pre-built decision templates for 15+ common categories (logging, analytics, payments, auth, CRM, HR, etc.) with pre-populated evaluation criteria
  • Slack/Teams bot that notifies team members, collects votes, surfaces real-time consensus %
  • Auto-fetch vendor data: bot pulls pricing, customer count, G2 rating, uptime SLA from public APIs and displays in scorecard
  • And more, with full implementation detail...

Tech Stack

Python + Slack SDK (Slack bot) Microsoft Bot Framework (Teams bot) Node.js + Express (API server) G2 API, Capterra API (vendor data)
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Original Problem

Businesses waste months and millions deciding between building custom software vs buying off-the-shelf solutions

Technical leaders and business decision-makers struggle to evaluate whether to invest in custom development or adopt ready-made SaaS platforms, leading to analysis paralysis, missed deadlines, and budget overruns. Current comparison frameworks are generic and don't account for their specific technical debt, team capabilities, or integration complexity, forcing them to make expensive decisions with incomplete information.

Score: 21.4% • 2 demand signals