Plan, design, and govern a portfolio of reports, dashboards, and data products for clinical laboratories (biochemistry, pathology, clinical microbiology, molecular diagnostics). Use when lab managers and data science teams need to (1) assess current BI landscape and identify gaps, (2) design new dashboards or reports for specific stakeholders, (3) prioritize what to build next, (4) establish ownership and review cycles, or (5) rationalize/prune an existing portfolio. Technology-agnostic guidance focused on information architecture and stakeholder needs.
Guide lab managers and data science teams through designing, building, and governing a portfolio of BI products for clinical laboratories.
This skill supports three primary workflows. Determine which applies based on user intent:
| User Intent | Workflow | Key References |
|---|---|---|
| "What should we build?" / "Where are our gaps?" | Discovery | personas.md, portfolio-types.md |
| "Design a dashboard for X" / "What should this report contain?" | Design | personas.md, quality-indicators.md |
| "How do we manage our reports?" / "Should we retire this?" | Governance | governance.md |
Use when assessing current state or identifying what to build.
Gather information about existing BI products:
Load references/personas.md and work through each relevant persona:
Load references/portfolio-types.md and assess coverage:
For each gap identified, assess:
Output a prioritized backlog of BI products to build or improve.
Use when specifying a new dashboard, report, or data product.
Establish scope:
references/personas.md if needed)references/portfolio-types.md if needed)For each visualization or data element:
Load references/quality-indicators.md for standard KPIs by lab phase and specialty.
Specify user experience:
Before building:
Use when establishing or improving portfolio management practices.
Load references/governance.md for detailed guidance. Key decisions:
Establish recurring review cycles:
Define criteria for each lifecycle stage:
Ongoing activities:
When completing discovery, output:
# Lab Intelligence Portfolio Assessment
## Current State
- Total products: [N]
- Active/used: [N]
- Orphaned/unused: [N]
## Coverage by Archetype
| Category | Products | Gaps |
|----------|----------|------|
| Operational | ... | ... |
| Quality/Compliance | ... | ... |
| Financial | ... | ... |
| Clinical Decision Support | ... | ... |
| Strategic | ... | ... |
## Coverage by Persona
[Table showing which personas are well-served vs. underserved]
## Recommended Priorities
1. [Priority 1 with rationale]
2. [Priority 2 with rationale]
3. [Priority 3 with rationale]
When completing design, output:
# [Product Name] Specification
## Overview
- **Archetype**: [Category]
- **Primary personas**: [List]
- **Key questions answered**: [List]
- **Refresh frequency**: [Frequency]
## Content Specification
| Element | Metric | Dimensions | Target/Benchmark |
|---------|--------|------------|------------------|
| ... | ... | ... | ... |
## Interactions
- **Filters**: [List]
- **Drill-downs**: [List]
- **Alerts**: [Conditions and recipients]
## Data Requirements
- **Sources**: [Systems]
- **Latency**: [Acceptable delay]
- **Quality requirements**: [Accuracy, completeness]
## Governance
- **Product owner**: [Role]
- **Review cycle**: [Frequency]
Load these as needed based on the workflow:
references/personas.md - Detailed stakeholder needs by rolereferences/portfolio-types.md - Dashboard/report archetypes with examplesreferences/governance.md - Lifecycle management, ownership, review practicesreferences/quality-indicators.md - Standard KPIs by lab phase and specialty