How does Feedback Analyzer measure ROI?

It calculates ROI by comparing the time invested in building and maintaining a skill against the total time saved and quality improvements achieved through its consistent usage.

Is this skill useful for identifying performance plateaus?

Yes, the Trend Analysis operation identifies when tool efficiency gains stabilize, helping you decide whether to further optimize or accept the current performance level.

What data sources can this skill analyze?

It analyzes build times, usage frequency, quality scores from peer reviews, user satisfaction feedback, and efficiency gains relative to manual baselines.

Can I use this to improve my existing Claude Code toolkit?

Absolutely. The Extract Insights operation generates specific, prioritized recommendations for which skills need refinement based on real-world usage data.

Feedback Analyzer

Name: Feedback Analyzer
Author: adaptationio

byadaptationio

Analytics & Monitoring

Evaluates tool performance and impact through usage metrics, trend analysis, and ROI measurement.

About

Feedback Analyzer provides a comprehensive framework for assessing the effectiveness of AI-driven toolkits and specialized Claude Code skills. By systematically collecting usage data, quantifying efficiency gains, and identifying performance trends, it enables developers and teams to understand the tangible ROI of their automated workflows. This skill is essential for making data-driven decisions on tool improvements, identifying underutilized resources, and proving the value of AI automation within a development lifecycle.

Key Features

Automated collection of usage frequency and build metrics
Actionable insight extraction for prioritized toolkit optimization
Comparative benchmarking against historical performance data
Quantitative ROI calculation based on time savings and quality scores
0 GitHub stars
Multi-dimensional trend analysis to detect performance plateaus

Use Cases

Calculating the measurable ROI of custom-built Claude Code skills
Identifying underutilized or ineffective tools within a development toolkit
Generating data-backed performance reports for project stakeholders

About

Key Features

Automated collection of usage frequency and build metrics
Actionable insight extraction for prioritized toolkit optimization
Comparative benchmarking against historical performance data
Quantitative ROI calculation based on time savings and quality scores
0 GitHub stars
Multi-dimensional trend analysis to detect performance plateaus

Use Cases

Calculating the measurable ROI of custom-built Claude Code skills
Identifying underutilized or ineffective tools within a development toolkit
Generating data-backed performance reports for project stakeholders