task-analysis-quant

Analyze task data to compute completion rates, time-on-task, and error rates.

13|4|Updated Mar 14, 2026

Search Tags:#metrics #efficiency #ux-research #task-analysis #quantitative #time-on-task

Ready to run

npx skills add https://github.com/henrique-simoes/Istara --skill task-analysis-quant

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: task-analysis-quant
Source: https://github.com/henrique-simoes/Istara/tree/main/skills/deliver/task-analysis-quant
Command: npx skills add https://github.com/henrique-simoes/Istara --skill task-analysis-quant

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides a structured approach to capture and analyze task performance metrics—completion rates, time-on-task, error rates, and efficiency benchmarks—so teams can quantify progress across UX research and delivery programs.

Core Features & Use Cases

Plan: Define objectives, metrics, and data collection methods for task analysis.
Execute: Process input data (raw or processed) to compute key task metrics.
Validate: Cross-check results against source data and assign confidence levels.
Report: Generate a structured summary with nuggets, facts, insights, and recommendations for stakeholders.
Use Case: Compare iteration cohorts in a usability study to identify bottlenecks and improvements.

Quick Start

Analyze the provided task dataset to compute completion rates, time-on-task, and error rates.

Frequently Asked Questions about task-analysis-quant

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I calculate quantitative task analysis metrics like completion rates and time-on-task?▼

Task analysis quantitative metrics measure user performance by calculating completion rates, time-on-task, and error rates from input data files. This Skill processes raw session data to quantify UX research progress and identify bottlenecks across cohorts.

How do I compare usability study cohorts to find task performance bottlenecks?▼

Compare usability study cohorts by processing task data to generate structured summaries with metrics, facts, insights, and recommendations. This validates results against source data to highlight iteration improvements and bottlenecks.

Can I use raw session data for computing task efficiency benchmarks?▼

Yes, you can use raw session data for computing task efficiency benchmarks. The analysis accepts both raw and processed input data files to calculate quantitative metrics and produce a validation report with source references.

Do I need to define data collection methods before analyzing task performance metrics?▼

Defining data collection methods, objectives, and metrics beforehand is required. Planning these elements ensures the task analysis accurately captures the necessary session data to quantify performance across UX research projects.