Delivery Speed KPIs

Calculates Key Performance Indicators for delivery speed from Jira data.

Updated Mar 6, 2026

Search Tags:#KPIs #Jira #cycle time #lead time #delivery speed #deployment frequency

Ready to run

npx skills add https://github.com/devmuslim/pdm-skills --skill delivery-speed-kpis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Delivery Speed KPIs
Source: https://github.com/devmuslim/pdm-skills/tree/main/delivery-kpi/skills/delivery-speed
Command: npx skills add https://github.com/devmuslim/pdm-skills --skill delivery-speed-kpis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps Product Delivery Managers track and understand key metrics related to the speed and efficiency of their software delivery process, enabling data-driven improvements.

Core Features & Use Cases

Lead Time Calculation: Measures the total time from ticket creation to production deployment.
Cycle Time Calculation: Measures the time from starting work on a ticket to its completion.
Deployment Frequency: Tracks how often new releases are deployed to production.
Story Completion Rate: Assesses the percentage of stories completed within their planned timeframe.
Scope Creep Analysis: Identifies the impact of changes to the release scope after it has begun.
Use Case: A team notices their Lead Time is consistently over 21 days. By using this Skill, they can identify bottlenecks in their workflow and implement targeted improvements to reduce it.

Quick Start

Analyze the delivery speed metrics for the current release using Jira data.

Frequently Asked Questions about Delivery Speed KPIs

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

FAQPage Schema

Does tracking deployment frequency and story completion rate require specific Jira fields?▼

Tracking deployment frequency and story completion rate requires access to Jira issue data including creation dates, resolution dates, and status transitions to accurately assess the percentage of stories completed within their planned timeframe.

How can I identify scope creep impact using Jira issue tracking?▼

You can identify scope creep impact by analyzing changes to the release scope after it has begun using Jira data, evaluating how modifications affect delivery speed metrics like lead time and story completion rate.

What Jira metrics help identify bottlenecks in the software delivery process?▼

Key delivery speed KPIs including lead time, cycle time, deployment frequency, story completion rate, and scope creep analysis help identify bottlenecks and highlight areas for targeted process improvement in software development teams.

Can I use this Skill to analyze delivery performance for a specific Jira release?▼

Yes, you can analyze the delivery speed metrics for the current release using Jira data to track and understand delivery performance, enabling data-driven improvements for your software development team.