Staging environment

Build an AI-Powered WBR: From Metrics to Decisions

Hosted by Paras Doshi

64 students

In this video

What you'll learn

Map your WBR workflow

Separate AI work like data collection, variance checks, and the first draft from the decisions that need a human owner.

Draft a focused WBR with AI

Turn a small set of metrics into a weekly narrative with expected results, variances, likely drivers, and questions.

Run a decision-focused review

Use a reusable template to discuss what changed, assign one owner, and leave with a due date for each follow-up.

Why this topic matters

A WBR should help a team make decisions. Too often, the week disappears into collecting numbers, reviewing every metric, and writing the same update again. In 30 minutes, I'll show how to use AI to draft the repeatable work and focus the live review on variances. Each discussion will end with a decision, one owner, and a due date. You'll leave with a reusable WBR prompt and template.

You'll learn from

Paras Doshi

Head of Data (Amazon, Opendoor)

Paras Doshi led data during Alexa’s early years and through Opendoor’s turnaround after a $1B loss -- two businesses with AI at the center.

See all products from Paras

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Advanced Agentic Analytics in Production & Private 1-1 with Head of Data
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