AI PRODUCT OPERATIONS · CASE 02

Work Aggregator

A read-only daily brief that connects work items, conversations, and tasks without changing the source systems.

My role
Product Owner, workflow designer
Portfolio status
Sanitized working pattern

01 / Business problem

The decision behind the work

Product work did not live in one queue. Azure DevOps contained planned work and hierarchy; Outlook contained decisions, mentions, and side conversations; tasks contained personal commitments. Reading each system separately made status look cleaner than it was.

I designed a read-only aggregator that groups work at the business-feature level, correlates available evidence, and asks one practical question: what needs to happen next?

02 / My product decisions

How the decision works

  1. 01
    Keep extraction deterministic. System reads, hierarchy rollups, and source preservation happen before AI interpretation.
  2. 02
    Start with the Product Owner’s decisions. The main output shows what needs a decision or follow-up, not every recorded activity.
  3. 03
    Show the source. Every recommendation points back to the work item, thread, task, or missing evidence behind it.
  4. 04
    Never write back. The operator reports and recommends; it does not update DevOps, send email, or close work.

Featured sample output

Product Owner daily topics

Synthetic sample digest · one line of sight across work and communication

Azure DevOps + Outlook

Data model issue affecting today’s refresh

Evidence
Active incident thread and linked work item disagree on the current owner.
Recommended next action
Confirm ownership, separate source anomaly from report defect, and set the next check.

03 / Evidence

What the demonstration proves

The synthetic sample digest demonstrates the Product Owner output. A separate Role Lens Demo shows how the same source evidence changes when the reader’s responsibility changes.

04 / Outcome

One product view

The system converts fragmented activity into a feature-level narrative with evidence, ownership gaps, mentions, and recommended next action.

05 / What I’d carry forward

Aggregation is not truth by itself. The operator must expose missing sources, contradictory signals, and the boundary between observed evidence and inferred status.