# CMMI-DEV Organizational Process Performance

> Draft CMMI-DEV Organizational Process Performance (OPP) deliverables: process performance baselines and process performance models for ML4.



Tags: CMMI, CMMI-DEV, Process Improvement, Process Performance, ML4


## Example Prompts

- Establish process performance baselines for our key processes
- Develop process performance models for estimation
- Document OPP baselines and models for CMMI ML4

URL: https://rakenne.app/skills/cmmi-dev-organizational-process-performance/index.md

Try this skill: https://rakenne.app/a/?skill=cmmi-dev-organizational-process-performance



## Overview

Draft CMMI-DEV Organizational Process Performance (OPP) deliverables: process performance baselines and process performance models for ML4.

## Getting Started

Add your source materials to the project workspace, then activate the *CMMI-DEV Organizational Process Performance* skill. The agent will guide you through the process step by step.

## Example Conversation

> **You:** We're building process performance baselines for CMMI OPP. We have historical data on effort, schedule variance, and defect density from the last 5 projects. Can you draft the baseline document and a simple process performance model for estimation?
>
> **Agent:** I'll draft an OPP document: (1) process performance baselines — which processes and measures, data period, statistical summary (e.g. mean, std dev, percentiles); (2) process performance model(s) — e.g. effort or defect prediction from size/type. I'll use your historical data structure; you can paste summary stats or I'll propose a template for capturing them.
>
> **You:** Our measures are: effort (hours), schedule variance (days), defect density (defects per KLOC). We use story points for size. Can we have a model for effort from story points?
>
> **Agent:** I've created `process-performance-baselines.md` with baseline definitions for effort, schedule variance, and defect density (with placeholders for mean, std dev, N). I've added a simple process performance model: effort = f(story points) with a linear form and notes on calibrating from historical data. The model is in `process-performance-models.md`. You can plug in your numbers.

## Sample Output Excerpt

Excerpt from Process Performance Baselines produced with this skill.

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### Process performance baseline — Effort

**Process:** Development (design through code complete). **Measure:** Actual effort (hours). **Data:** Last 5 projects; size range 200–800 story points.

| Statistic | Value |
|-----------|--------|
| N | 5 |
| Mean | 3.2 hours per story point |
| Std dev | 0.4 |
| 25th / 75th percentile | 2.9 / 3.5 |

**Use:** Setting project effort expectations; comparing project performance to baseline; input to process performance models.

### Process performance model — Effort estimation

**Purpose:** Predict project effort from size. **Form:** Effort (hours) = a × Story points + b. **Calibration:** Fit a, b from historical (project, story points, actual effort). **Usage:** Estimate new project effort; what-if for scope changes.


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