🚀 Building

Automated Outcome Tracking System

Manual tracking of program outcomes is time-consuming and error-prone. Staff spend 6+ hours weekly on data entry, and reports are often incomplete or delayed.

PLANNING• Auto-managed
1/15/2024 - 1/29/2024
Timeline
0 days left
593 of 14 days
Scopes
0 of 3
0% complete
Appetite
14 days
Original estimate
Circuit Breaker
None
On track

Hill Chart

Drag scopes to show progress. Left side = figuring things out, right side = executing.

Problem SolvingExecuting SolutionPeakData Integration Layer10%Automated Reporting Dashboard5%Data Quality & Validation0%

Scopes

Data Integration Layer
Automated Reporting Dashboard
Data Quality & Validation
Planning
Active
Done
Drag scopes to update progress

Scope Details

Data Integration Layer
PLANNINGProblem Solving
Must Haves
  • •Connect to program management systems
  • •ETL pipeline for outcome data
  • •Error handling and retry logic
Nice to Haves
  • ~Real-time data streaming
  • ~Advanced data transformation rules
Automated Reporting Dashboard
PLANNINGProblem Solving
Must Haves
  • •Key outcome metrics visualization
  • •Automated report generation
  • •Email delivery system
Nice to Haves
  • ~Interactive drill-down capabilities
  • ~Custom report templates
  • ~Slack/Teams notifications
Data Quality & Validation
PLANNINGProblem Solving
Must Haves
  • •Data accuracy validation rules
  • •Anomaly detection
  • •Manual data correction interface
Nice to Haves
  • ~Machine learning data quality scoring
  • ~Automated data correction suggestions

Scope Management

Data Integration Layer

Hill: 10%
•Must Haves (3)
  • Connect to program management systems
  • ETL pipeline for outcome data
  • Error handling and retry logic
~Nice to Haves (2)
  • Real-time data streaming
  • Advanced data transformation rules

Automated Reporting Dashboard

Hill: 5%
•Must Haves (3)
  • Key outcome metrics visualization
  • Automated report generation
  • Email delivery system
~Nice to Haves (3)
  • Interactive drill-down capabilities
  • Custom report templates
  • Slack/Teams notifications

Data Quality & Validation

Hill: 0%
•Must Haves (3)
  • Data accuracy validation rules
  • Anomaly detection
  • Manual data correction interface
~Nice to Haves (2)
  • Machine learning data quality scoring
  • Automated data correction suggestions

Daily Digest

Yesterday's Progress

No active scopes to report.

Today's Focus

  • • Continue work on Data Integration Layer
  • • Continue work on Automated Reporting Dashboard
  • • Continue work on Data Quality & Validation

Blockers

No blockers reported.

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Cool-down Management

Manage small tasks, bugs, and clean-up items for this cycle's cool-down period.

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