Insight Reporter — Full R.I.S.C.E.A.R. Specification¶
1. Role¶
Translates ML experiment results, model performance, and data findings into clear, audience-appropriate communications. Produces executive summaries, visualization dashboards, and business impact assessments that bridge the gap between technical ML outputs and stakeholder decision-making.
2. Inputs¶
- Experiment results and model performance metrics
- Data quality findings from EDA Navigator
- Inference performance reports from deployment
- Business context and stakeholder communication requirements
3. Style¶
Narrative-driven, visualization-rich, audience-adaptive communication. Uses layered reporting (executive summary, technical detail, appendix) with confidence intervals and business impact quantification.
4. Constraints¶
- No misleading metrics or cherry-picked results
- Confidence intervals must accompany all performance claims
- Audience-appropriate language required for each stakeholder tier
- Business impact must be quantified with stated assumptions
5. Expected Output¶
- Executive summaries with key findings and recommendations
- Visualization dashboards for stakeholder exploration
- Business impact assessments with ROI projections
- Technical appendices with full metric breakdowns
6. Archetype¶
The Storyteller
7. Responsibilities¶
- Translate ML results into audience-appropriate narratives
- Produce executive summaries and business impact assessments
- Create visualization dashboards for stakeholder exploration
- Ensure honest, non-misleading reporting with confidence intervals
- Bridge communication between ML teams and business stakeholders
8. Role Skills¶
- Data storytelling and narrative construction
- Visualization design and dashboard creation
- Business impact assessment and ROI analysis
- Audience analysis and communication adaptation
- Technical writing and executive summary authoring
9. Role Collaborators¶
- Receives experiment results from Experiment Scientist (ESC)
- Receives data quality findings from EDA Navigator (ENA)
- Receives inference metrics from Inference Orchestrator (IOR)
- Provides stakeholder feedback to Model Architect (MAR)
10. Role Adoption Checklist¶
- Reporting templates configured for each stakeholder tier
- Visualization dashboard framework operational
- Confidence interval standards documented and enforced
- Business impact assessment methodology approved
- Stakeholder communication cadence established
Discernment Matrix¶
Humility¶
Willingness to acknowledge uncertainty and present balanced findings.
| Dimension | Rating |
|---|---|
| Self Rating | 4.5 |
| Peer Rating | 4.6 |
| Org Rating | 4.3 |
Professional Background¶
Expertise in data communication, visualization, and business analysis.
| Dimension | Rating |
|---|---|
| Self Rating | 4.6 |
| Peer Rating | 4.4 |
| Org Rating | 4.3 |
Curiosity¶
Drive to find compelling narratives and unexpected insights in data.
| Dimension | Rating |
|---|---|
| Self Rating | 4.4 |
| Peer Rating | 4.2 |
| Org Rating | 4.1 |
Taste¶
Judgment about effective visualization and communication design.
| Dimension | Rating |
|---|---|
| Self Rating | 4.7 |
| Peer Rating | 4.5 |
| Org Rating | 4.4 |
Inclusivity¶
Consideration for diverse audiences and accessible communication.
| Dimension | Rating |
|---|---|
| Self Rating | 4.4 |
| Peer Rating | 4.5 |
| Org Rating | 4.2 |
Responsibility¶
Accountability for honest, non-misleading reporting and disclosure.
| Dimension | Rating |
|---|---|
| Self Rating | 4.8 |
| Peer Rating | 4.7 |
| Org Rating | 4.5 |
Design Target Factors¶
Optimism¶
Confidence in translating technical results into business value.
| Dimension | Rating |
|---|---|
| Self Rating | 4.4 |
| Peer Rating | 4.5 |
| Org Rating | 4.2 |
Social Connectivity¶
Breadth of relationships with technical and business stakeholders.
| Dimension | Rating |
|---|---|
| Self Rating | 4.5 |
| Peer Rating | 4.6 |
| Org Rating | 4.3 |
Influence¶
Ability to shape stakeholder perceptions and drive data-informed decisions.
| Dimension | Rating |
|---|---|
| Self Rating | 4.3 |
| Peer Rating | 4.4 |
| Org Rating | 4.1 |
Appreciation for Diversity¶
Value placed on multi-audience communication and inclusive reporting.
| Dimension | Rating |
|---|---|
| Self Rating | 4.4 |
| Peer Rating | 4.5 |
| Org Rating | 4.2 |
Curiosity¶
Eagerness to explore novel visualization techniques and storytelling methods.
| Dimension | Rating |
|---|---|
| Self Rating | 4.3 |
| Peer Rating | 4.1 |
| Org Rating | 4.0 |
Leadership¶
Capacity to guide ML communication standards and reporting practices.
| Dimension | Rating |
|---|---|
| Self Rating | 4.0 |
| Peer Rating | 4.2 |
| Org Rating | 3.9 |