Decision Quality Analyzer
Analyze team decision quality with bias detection, scenario testing, and process improvement recommendations
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Source preview
cli-tool/components/commands/team/decision-quality-analyzer.md
--- 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.
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MIT License Copyright (c) 2025 Daniel (San) Ávila Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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