Sales Leadership Dashboard: Metrics and Layout for Tracking Product Sales

Quick Overview

A product design question asking for a dashboard that sales leaders use to follow how their product is selling. It tests understanding of the decisions sales leaders make, building a metric hierarchy from revenue against target to pipeline health, layout and drill-down design, and keeping the numbers trustworthy.

Sales Leadership Dashboard: Metrics and Layout for Tracking Product Sales

Company: Google

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Other

Sales leaders want a single place to see how the product their team sells is doing. Design that dashboard for them. ```hint Start from the decisions List the calls a sales leader makes in a weekly forecast review or a quarterly business review, then keep only the views that would change one of those calls. ``` ### Clarifying Questions - Which sales leaders: a VP reviewing the whole business each quarter, or regional managers running weekly pipeline reviews with their reps? - How is the product sold: by a direct sales team working a deal pipeline, or through retail and channel partners, where units and sell-through matter more? Is it a subscription or a one-time purchase? - Where does the data come from (CRM, billing, product usage), and how fresh does it need to be? - Does "their product" mean one product, or a portfolio the leaders need to compare? ### What a Strong Answer Covers - The users, the decisions the dashboard supports, and how often they use it - A metric hierarchy: outcomes against target, leading indicators such as pipeline health, and product signals such as loss reasons and adoption - Layout and interaction: summary first, comparisons to target and prior period, filters, drill-down to the underlying deals, and alerts - Data sources, metric definitions and freshness, so the numbers match the CRM and finance - How you would judge whether the dashboard itself succeeds, and risks such as metric overload or misuse of rep-level views ### Follow-up Questions - The dashboard shows bookings at 90% of target with three weeks left in the quarter. Walk through how a leader would use it to find out why and decide what to do. - Finance's revenue number and the dashboard's number disagree. How do you handle it? - How would you decide whether to add AI-generated forecasts or insights, and how would leaders come to trust them?

Overview: A product design question asking for a dashboard that sales leaders use to follow how their product is selling. It tests understanding of the decisions sales leaders make, building a metric hierarchy from revenue against target to pipeline health, layout and drill-down design, and keeping the numbers trustworthy.

Google logo
Google
Feb 23, 2026
mediumProduct ManagerOtherProduct Design & Strategy
0
0

Sales leaders want a single place to see how the product their team sells is doing. Design that dashboard for them.

Clarifying Questions Guidance

  • Which sales leaders: a VP reviewing the whole business each quarter, or regional managers running weekly pipeline reviews with their reps?
  • How is the product sold: by a direct sales team working a deal pipeline, or through retail and channel partners, where units and sell-through matter more? Is it a subscription or a one-time purchase?
  • Where does the data come from (CRM, billing, product usage), and how fresh does it need to be?
  • Does "their product" mean one product, or a portfolio the leaders need to compare?

What a Strong Answer Covers Guidance

  • The users, the decisions the dashboard supports, and how often they use it
  • A metric hierarchy: outcomes against target, leading indicators such as pipeline health, and product signals such as loss reasons and adoption
  • Layout and interaction: summary first, comparisons to target and prior period, filters, drill-down to the underlying deals, and alerts
  • Data sources, metric definitions and freshness, so the numbers match the CRM and finance
  • How you would judge whether the dashboard itself succeeds, and risks such as metric overload or misuse of rep-level views

Follow-up Questions Guidance

  • The dashboard shows bookings at 90% of target with three weeks left in the quarter. Walk through how a leader would use it to find out why and decide what to do.
  • Finance's revenue number and the dashboard's number disagree. How do you handle it?
  • How would you decide whether to add AI-generated forecasts or insights, and how would leaders come to trust them?