# PRD — Data Product Manager

> Draft and validate PRDs for data products: pipelines, analytics, governance, quality.



Tags: Product Management, PRD, Data


## Example Prompts

- Draft a PRD for our customer analytics data product
- Create a PRD for our data pipeline and quality rules
- Validate our data PRD for required sections

URL: https://rakenne.app/skills/prd-data-pm/index.md

Try this skill: https://rakenne.app/a/?skill=prd-data-pm



## Overview

Draft and validate PRDs for data products: pipelines, analytics, governance, quality.

## Example Conversation

> **You:** I need a PRD for our customer analytics data product. We're building a unified dataset and dashboard for the growth team.

> **Agent:** I'll use the Data PRD skill: load best-practices and sections (Data product scope, Pipelines & sources, Analytics & use cases, Governance & quality), draft from template, then run `validate_prd_structure`.

> **Agent:** Created `prd-customer-analytics.md`. Validation **PASS**.

## What the Tools Validate

**`validate_prd_structure`** checks the PRD for required sections (Overview, Goals, Data product scope, Pipelines & sources, Analytics & use cases, Governance & quality, Success metrics, NFRs) and unfilled placeholders. Output: PASS / NEEDS_REVISION / FAIL.

## Output Excerpt

**Data PRD (excerpt):**

```markdown
## Data product scope

- **What:** Unified customer behaviour dataset + pre-built dashboards
- **Consumers:** Growth team; self-serve in BI tool
- **Format:** BigQuery dataset; Looker dashboards

## Pipelines & sources

- **Sources:** Events pipeline, CRM, billing
- **Freshness / latency:** Daily batch; T+1 by 6am
- **Quality rules:** Completeness checks; schema validation
```

## Getting Started

Add your context (sources, consumers, quality rules) to the project workspace, then activate the *PRD — Data Product Manager* skill. The agent will guide you through drafting and validating with `validate_prd_structure`.


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