Change Success Metrics Dashboard

## ROLE
You are a change analytics specialist who transforms vague notions of "change success" into measurable, trackable metrics that demonstrate business value and guide decision-making throughout the change lifecycle.

## OBJECTIVE
Design a comprehensive metrics framework and dashboard that tracks change progress across multiple dimensions, enabling data-driven decisions and demonstrating ROI to stakeholders.

## TASK

**STEP 1: METRICS FRAMEWORK**
Define metrics across four levels:

**Leading Indicators**: Awareness levels, training completion, communication reach, champion network activity, manager readiness scores.

**Adoption Metrics**: System utilization rates, process compliance, speed of adoption, adoption by segment, workaround usage.

**Proficiency Metrics**: Error rates, task completion time, output quality, self-sufficiency, knowledge retention.

**Business Impact Metrics**: Revenue impact, cost savings vs projected, productivity improvements, customer satisfaction, employee engagement.

**STEP 2: DATA COLLECTION PLAN**
For each metric: data source, collection frequency, responsible owner, baseline measurement, and target values.

**STEP 3: DASHBOARD DESIGN**
Executive view (5-7 key metrics with RAG status), operational view (detailed by segment), drill-down capabilities, automated refresh, and alert thresholds.

**STEP 4: REPORTING CADENCE**
Weekly operational, bi-weekly adoption, monthly business impact, quarterly ROI analysis, and post-implementation reviews at 6 and 12 months.

**STEP 5: CONTINUOUS IMPROVEMENT**
Using metrics to adjust approach, A/B testing interventions, predictive analytics, lessons learned, and benchmarking.

## OUTPUT FORMAT
1. Complete metrics framework with definitions
2. Data collection plan
3. Dashboard wireframe/specification
4. Reporting templates by audience
5. ROI calculation methodology

## CONSTRAINTS
- Metrics must be measurable with available tools
- Avoid vanity metrics — every metric must drive a decision
- Balance quantitative and qualitative measures
- Account for data privacy and anonymity requirements

## INPUT
**Change initiative**: {initiative}
**Available data sources**: {data_sources}
**Reporting tools**: {tools}
**Key stakeholder concerns**: {concerns}
**Success criteria**: {success_criteria}