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decision-quality-analyzer — Claude Code command: how to install

Evaluates team decision making, flags cognitive biases, and stress-tests project scenarios directly from Git history.

Install into Claude Code · claude-code-templates All methods and platforms ↓
npx claude-code-templates@latest --command team/decision-quality-analyzer
Open on GitHub

What decision-quality-analyzer does

This command reviews recent commits and discussions to evaluate how a team arrives at technical choices. It inspects active contributors over the past month via git log and inspects decision frequency. You can target specific evaluations with flags like --bias-detection, --scenario-testing, --process-optimization, or --outcome-tracking.

The workflow spots common decision traps including confirmation bias, anchoring, groupthink, and planning fallacies. It relies on standard environment capabilities: Read, Write, Edit, and Bash.

Git history is required. Without a local repository, contributor counts and recent context cannot be collected. The run produces a structured assessment covering process improvements and actionable next steps.

What it helps with

  • detect groupthink and anchoring bias in team discussions
  • audit decision cadence from the past month of Git commits
  • stress-test hypothetical scenarios before major releases
  • outline structured steps for team alignment

Example prompts for the agent

  • Run bias detection on recent choices: /decision-quality-analyzer --bias-detection
  • Stress-test alternative scenarios: /decision-quality-analyzer --scenario-testing
  • Track outcomes of prior architectural decisions: /decision-quality-analyzer --outcome-tracking

How to install decision-quality-analyzer

1claude-code-templates

npx claude-code-templates@latest --command team/decision-quality-analyzer

2Manually: put the files in place

.claude/commands/decision-quality-analyzer.md

Call it with /decision-quality-analyzer. For all projects use ~/.claude/commands/

Questions about decision-quality-analyzer

How to install decision-quality-analyzer in Claude Code?

Run npx claude-code-templates@latest --command team/decision-quality-analyzer. This saves the configuration to .claude/commands/decision-quality-analyzer.md.

What does decision-quality-analyzer do?

It inspects team decision habits, flags cognitive patterns like confirmation bias, and suggests process improvements.

Which tools does decision-quality-analyzer need?

The command requires access to Read, Write, Edit, and Bash, alongside a working Git repository.

Source text

decision-quality-analyzer.md · MIT
---
allowed-tools: Read, Write, Edit, Bash
argument-hint: "[analysis-type] | --bias-detection | --scenario-testing | --process-optimization | --outcome-tracking"
description: Analyze team decision quality with bias detection, scenario testing, and process improvement recommendations
---

# Decision Quality Analyzer

Analyze and improve team decision-making quality with comprehensive bias detection: **$ARGUMENTS**

## Current Decision Context

- Team size: !`git log --format='%ae' --since='1 month ago' | sort -u | wc -l` active contributors
- Recent decisions: Major decisions from recent commits and discussions
- Decision frequency: Pattern analysis of decision-making cadence
- Process maturity: Current decision frameworks and methodologies in use

## Task

Execute comprehensive decision quality analysis with bias mitigation and process optimization:

**Analysis Type**: Use $ARGUMENTS for bias detection, scenario testing, process optimization, or outcome tracking analysis

**Decision Quality Framework**:
1. **Process Quality Assessment** - Evaluate information gathering, stakeholder involvement, alternative generation, analysis rigor
2. **Bias Detection Analysis** - Identify confirmation bias, anchoring bias, groupthink, authority bias, planning fallacy patterns
3. **Outcome Evaluation** - Assess goal achievement, unintended consequences, stakeholder satisfaction, sustainability measures
4. **Scenario Testing** - Historical decision analysis, hypothetical scenario testing, stress test scenarios, learning extraction
5. **Timing Analysis** - Decision speed evaluation, information timing optimization, implementation coordination, review scheduling
6. **Learning Integration** - Knowledge capture, institutional learning, process improvement, capability building

**Advanced Features**: Multi-dimensional quality metrics, systematic bias mitigation strategies, decision simulation testing, predictive outcome modeling.

**Process Optimization**: Stakeholder engagement frameworks, analytical tool integration, communication enhancement, cultural development strategies.

**Output**: Comprehensive decision quality assessment with specific bias mitigation strategies, process improvements, and implementation roadmap.

© davila7 · MIT · davila7/claude-code-templates

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