PULSE

Quality Intelligence

Scope & Release Planning

Drag items between releases to prioritize. Items with questions need clarification.

23
Total Items
13
Confirmed
9
Proposed
1
Open Questions
Status:
Confirmed
Proposed
Open Question
|Filter by Area:|Effort:SMLXL

MVP (Phase 1)

12 items

Q1 2026 - Core POC features

Excel File Upload & Parsing

Upload .xlsx files, parse sheets, convert to JSON for analysis

coreM
Anomaly Detection (3 Types)

Detect hierarchy mismatch, missing data, store dropout

coreL
Configurable Variance Thresholds

Set custom thresholds (e.g., ±2%) per metric/category

coreS
Hierarchy Comparison

Compare staging vs production data to detect structural changes

coreL
Triage Logic

Categorize anomalies as data issues vs contextual changes

coreM
Jira Ticket Creation

Auto-draft and create tickets via Jira MCP

integrationM
Email Draft Generation

Generate summary emails for CIT team

integrationS
Context Search Agent

Hypothesis-based web search for anomaly explanations

aiL
Plain English QC Definitions

Define checks in natural language, AI interprets

aiM
Spreadsheet-like Data View

Excel-like display with cell selection in browser

uiM
Human-in-Loop Review UI

CST approval workflow before finalizing actions

uiM
Audit Logging

Track all actions for compliance

operationsS

Phase 2

6 items

Q2-Q3 2026 - Scale & Learn

Visual Pipeline Builder

Drag-and-drop workflow configuration

uiL
ServiceNow Integration

Alternative ticket system integration

integrationM
Learning from Corrections

AI improves accuracy based on CST feedback

aiXL
Multi-Client Support

Support multiple clients beyond PepsiCo pilot

operationsL
SSO Integration

Single sign-on with client identity providers

operationsM
QC Dashboard & Analytics

Real-time monitoring, accuracy metrics, trends

uiL

Phase 3

4 items

Q4 2026+ - Enterprise

Unify Platform API

Direct API access to client data platform (vs Excel exports)

integrationL
Predictive QC

Forecast potential data issues before delivery

aiXL
Client Self-Service Portal

Allow clients to explore QC results

uiXL
Auto-Resolution of Known Patterns

Automatically fix recurring data issues

operationsXL

Backlog

1 items

Future consideration

Visual QC (Computer Vision)

Automated visual inspection of output reports/charts

uiXL

Open Questions Requiring Clarification

Visual QC (Computer Vision)

Automated visual inspection of output reports/charts

Question: Is Visual QC (computer vision for output reports/charts) in scope for this POC, or should it be deferred to Phase 2+? This requires: (1) Training data of correct vs incorrect visual outputs, (2) CV model development or third-party service, (3) Definition of what 'visual issues' we're detecting. Need stakeholder input on priority vs effort tradeoff.

Planning Notes

  • Effort Scale: S (1-2 days), M (3-5 days), L (1-2 weeks), XL (2+ weeks)
  • Drag items between columns to reassign to different releases
  • • Items marked with require stakeholder clarification before commitment
  • • MVP scope is based on LOA and Steerco alignment