Define a north-star metric and purchase funnel for StickerGiant's online storefront

Quick Overview

A product manager metrics question about defining and measuring success for the website of StickerGiant, a custom sticker and label printer. It tests linking the site to business and customer goals, choosing a north-star metric, building a purchase funnel with guardrails, and segmenting results by buyer type.

Define a north-star metric and purchase funnel for StickerGiant's online storefront

Company: StickerGiant

Role: Product Manager

Category: Analytics & Experimentation

Difficulty: medium

Interview Round: Other

StickerGiant is a custom sticker and label printer that sells through its website. How would you decide whether that website is succeeding, and which metrics would you track? ```hint Follow one order Trace what a visitor has to do to get from landing on the site to holding correctly printed stickers, and ask which of those steps the website itself is responsible for. ``` ### Clarifying Questions - Does "webpage" mean the whole online storefront, the homepage, or a single product page? - Should the measures cover only orders configured and paid on the site, or also quote requests for large label runs that a sales team closes later? - Should I focus on one kind of buyer, such as businesses reordering product labels, or on everyone who visits? ### What a Strong Answer Covers - The website's job for the business and for each buyer type, for example a brand reordering product labels versus someone buying stickers once for an event - One north-star metric tied to completed, correctly printed orders rather than traffic, with the reason it was chosen - Supporting metrics along the path from landing to configuration, artwork upload, proof approval and checkout, and which step is most likely to leak - Guardrails on print quality, margin and customer effort, such as reprints, proof revision rounds and support contacts - How the metrics are segmented and then used to set targets and judge changes to the site ### Follow-up Questions - Completed orders are rising, but fewer business customers come back to reorder. Which signal do you trust, and how would you investigate? - How would you tell whether a redesign of the product configuration page worked? - Which two or three numbers would you show leadership every week, and why those?

Overview: A product manager metrics question about defining and measuring success for the website of StickerGiant, a custom sticker and label printer. It tests linking the site to business and customer goals, choosing a north-star metric, building a purchase funnel with guardrails, and segmenting results by buyer type.

StickerGiant logo
StickerGiant
Jan 11, 2025
mediumProduct ManagerOtherAnalytics & Experimentation
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StickerGiant is a custom sticker and label printer that sells through its website. How would you decide whether that website is succeeding, and which metrics would you track?

Clarifying Questions Guidance

  • Does "webpage" mean the whole online storefront, the homepage, or a single product page?
  • Should the measures cover only orders configured and paid on the site, or also quote requests for large label runs that a sales team closes later?
  • Should I focus on one kind of buyer, such as businesses reordering product labels, or on everyone who visits?

What a Strong Answer Covers Guidance

  • The website's job for the business and for each buyer type, for example a brand reordering product labels versus someone buying stickers once for an event
  • One north-star metric tied to completed, correctly printed orders rather than traffic, with the reason it was chosen
  • Supporting metrics along the path from landing to configuration, artwork upload, proof approval and checkout, and which step is most likely to leak
  • Guardrails on print quality, margin and customer effort, such as reprints, proof revision rounds and support contacts
  • How the metrics are segmented and then used to set targets and judge changes to the site

Follow-up Questions Guidance

  • Completed orders are rising, but fewer business customers come back to reorder. Which signal do you trust, and how would you investigate?
  • How would you tell whether a redesign of the product configuration page worked?
  • Which two or three numbers would you show leadership every week, and why those?