What is a technical decision matrix?

It is a structured framework where different options are scored against a set of weighted criteria to provide an objective, numerical basis for complex technical choices.

How does this skill prevent 'bike-shedding'?

By forcing the team to agree on weighted criteria upfront, the skill shifts the focus from arguing over minor details to aligning on what truly matters for the project's success.

Can I use this for vendor evaluation?

Yes, it is highly effective for comparing SaaS providers or cloud vendors by weighing factors like cost, lock-in risk, and feature set against each other.

What are common pitfalls to avoid when using a decision matrix?

The skill helps you avoid 'gaming' the matrix (biasing weights to suit a preference), using too many criteria (15+), or providing scores without documenting the underlying reasoning.

Technical Decision Matrix

Name: Technical Decision Matrix
Author: sethdford

bysethdford

•

Collaboration Tools

Generates weighted scoring matrices to systematically compare technical options and make defensible, data-driven architectural decisions.

The Technical Decision Matrix skill empowers tech leads and architects to move beyond subjective 'gut-feel' choices by providing a rigorous framework for evaluating competing technologies, vendors, or implementation patterns. By defining explicit weighted criteria—such as performance, cost, and team capability—the skill facilitates objective comparisons that eliminate unproductive 'bike-shedding' and focus discussions on organizational priorities. Every matrix includes documented reasoning for scores and automated tradeoff analysis, creating a clear audit trail that ensures accountability and organizational alignment during complex project discovery phases.

Key Features

01Weighted Criteria Framework: Assign percentage-based importance to factors like performance, cost, and risk.

02Bias Mitigation: Built-in safeguards against 'gaming' the matrix and over-complicating the decision process.

03Objective Scoring System: Standardized 0-10 scale for evaluating multiple competing technical options.

045 GitHub stars

05Tradeoff Documentation: Detailed reasoning logs for each score to justify decisions and educate stakeholders.

06Quantitative Gap Analysis: Automatic calculation of weighted scores to identify clear winners and narrow margins.

Use Cases

01Evaluating competing database engines or cloud infrastructure providers for a new service.

02Deciding between 'build vs. buy' options for internal tooling and enterprise software.

03Comparing frontend frameworks or state management libraries during a project's discovery phase.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add sethdford/claude-skills decision-matrix

For use in Claude.ai and ChatGPT

Key Features

01Weighted Criteria Framework: Assign percentage-based importance to factors like performance, cost, and risk.

02Bias Mitigation: Built-in safeguards against 'gaming' the matrix and over-complicating the decision process.

03Objective Scoring System: Standardized 0-10 scale for evaluating multiple competing technical options.

045 GitHub stars

05Tradeoff Documentation: Detailed reasoning logs for each score to justify decisions and educate stakeholders.

06Quantitative Gap Analysis: Automatic calculation of weighted scores to identify clear winners and narrow margins.

Use Cases

01Evaluating competing database engines or cloud infrastructure providers for a new service.

02Deciding between 'build vs. buy' options for internal tooling and enterprise software.

03Comparing frontend frameworks or state management libraries during a project's discovery phase.