Analytics

Knowledge Engine

Idan Elkabetz (UX), Faith McGee (UXR)

Team: Idan Elkabetz (UX), Faith McGee (UXR)

Objective

Unify business knowledge across data systems.

Problem

Lack of a single source of truth for metrics and critical business logic trapped in silos (dashboards, SQL, tribal knowledge), making it inaccessible to AI. Steps: Designed steel-thread based on Pulse UI; conducted 25+ ppts research sessions/demos. UX is built 100% in code.

Status

WIP; ongoing UX enhancements, targeting Dreamforce GA (Tableau Cloud).

Next

Continued research/testing. Rollout: Tableau Server GA → Tableau Next GA → standalone offering.

Internal Walkthrough Video Slides
Visual from Team: Idan Elkabetz (UX), Faith McGee (UXR), source slide 13.

Knowledge Engine

Steps taken

Designed the steel-thread based on Pulse UI, ran 20+ ppt research testing sessions and demos for quick feedback. UX works actively 100% in code.

Status

WIP, ongoing UX enhancements, Dreamforce GA (Tableau Cloud).

Next

Another round of research and testing. Rollout: Tableau Server GA → Tableau Next GA → standalone offering.

Internal Walkthrough Video Slides
Visual from Knowledge Engine, source slide 14.