I went straight for engagement metrics and kind of forgot to set up what 'success' even means for this feature before diving in.
Start by clarifying the goal of LinkedIn Events: to help professionals build communities and host meaningful gatherings. Then, define success metrics across the user journey—from event creation to attendance and post-event engagement—and tie them to LinkedIn's broader mission of connecting the professional world. Finally, prioritize metrics that reflect both user value and business impact, such as active hosts, attendee engagement, and network growth.
Pro tip: Emphasize that success isn't just about attendance numbers; it's about the quality of connections made and the long-term engagement of both hosts and attendees. Also, consider segmenting metrics by event type (e.g., virtual vs. in-person, company vs. community) to show nuanced thinking.
Ask clarifying questions to understand LinkedIn Events' purpose: is it to drive engagement, grow networks, or generate revenue? Define the target user segments (e.g., event hosts, attendees, companies).
Break down the event lifecycle into stages: discovery, creation, registration, attendance, and post-event follow-up. Identify key actions and potential drop-off points at each stage.
For each stage, propose metrics that measure success. For example, discovery: event views; creation: number of events created; registration: conversion rate; attendance: actual attendance rate; post-event: connections made, content shared.
Select a few North Star metrics (e.g., monthly active hosts, attendee engagement rate) that best reflect LinkedIn's strategic objectives. Balance growth, engagement, and monetization metrics.
Acknowledge potential trade-offs (e.g., quantity vs. quality of events) and include guardrail metrics to ensure a healthy ecosystem, such as spam reports or host satisfaction.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.