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Generate Feature Ideas

Last updated: Mar 29, 2026

Quick Overview

Explain how a live-service game PM generates feature ideas from player pain, telemetry, community feedback, business goals, and production constraints. The solution covers segmentation, concept generation, RICE prioritization, validation, retention metrics, and game-health guardrails.

  • medium
  • Nexon
  • Product Design & Strategy
  • Product Manager

Generate Feature Ideas

Company: Nexon

Role: Product Manager

Category: Product Design & Strategy

Difficulty: medium

Interview Round: Technical Screen

How do you come up with a new feature idea for a live-service game product? Describe a structured process for identifying opportunities, selecting the right user problem, and turning that into a feature concept. ### Constraints & Assumptions - Feature ideas should come from user/player pain, business goals, and feasible execution, not random brainstorming alone. - Consider live-service constraints such as retention, monetization health, player fairness, economy balance, event cadence, and production capacity. - Use evidence before prioritizing a concept. - Include metrics and guardrails. ### Clarifying Questions to Ask - What is the goal: new-player activation, returning-player reactivation, engagement, monetization, social play, or retention? - Which player segment is in scope? - What recent data or player feedback triggered the need for new ideas? - Are we designing a temporary event, permanent feature, or experiment? ### Part 1 - Identify The Opportunity How would you find the right player problem? #### What This Part Should Cover - Inputs from cohort data, funnel analysis, telemetry, player research, reviews, support, community channels, competitive analysis, and strategy. - Clear player segment and job to be done. ### Part 2 - Generate Feature Concepts How would you translate the problem into candidate features? #### What This Part Should Cover - Multiple options before choosing one. - Examples such as returner questline, catch-up pass, build recommendation, social re-entry prompt, or live event. - Player value and business value. ### Part 3 - Prioritize And Validate How would you select the right idea? #### What This Part Should Cover - RICE or impact/effort/confidence framework. - Prototype, beta, A/B test, or limited event rollout. - Risks such as economy inflation, pay-to-win sentiment, veteran-player resentment, or production cost. ### Part 4 - Define Success What metrics would show whether the feature worked? #### What This Part Should Cover - Retention, session count, feature completion, conversion to regular play, satisfaction, revenue quality, and guardrails. ### What a Strong Answer Covers - Shows a repeatable ideation process. - Grounds ideas in evidence and player segments. - Prioritizes with tradeoffs, not taste. - Protects long-term game health. ### Follow-up Questions - How would you avoid copying competitors blindly? - What if whales love the feature but casual users hate it? - How would you test without disrupting the game economy? - What guardrail would make you stop the feature? - How would you involve design and live-ops teams?

Quick Answer: Explain how a live-service game PM generates feature ideas from player pain, telemetry, community feedback, business goals, and production constraints. The solution covers segmentation, concept generation, RICE prioritization, validation, retention metrics, and game-health guardrails.

Nexon logo
Nexon
Jan 5, 2025, 12:00 AM
Product Manager
Technical Screen
Product Design & Strategy
2
0

How do you come up with a new feature idea for a live-service game product? Describe a structured process for identifying opportunities, selecting the right user problem, and turning that into a feature concept.

Constraints & Assumptions

  • Feature ideas should come from user/player pain, business goals, and feasible execution, not random brainstorming alone.
  • Consider live-service constraints such as retention, monetization health, player fairness, economy balance, event cadence, and production capacity.
  • Use evidence before prioritizing a concept.
  • Include metrics and guardrails.

Clarifying Questions to Ask

  • What is the goal: new-player activation, returning-player reactivation, engagement, monetization, social play, or retention?
  • Which player segment is in scope?
  • What recent data or player feedback triggered the need for new ideas?
  • Are we designing a temporary event, permanent feature, or experiment?

Part 1 - Identify The Opportunity

How would you find the right player problem?

What This Part Should Cover

  • Inputs from cohort data, funnel analysis, telemetry, player research, reviews, support, community channels, competitive analysis, and strategy.
  • Clear player segment and job to be done.

Part 2 - Generate Feature Concepts

How would you translate the problem into candidate features?

What This Part Should Cover

  • Multiple options before choosing one.
  • Examples such as returner questline, catch-up pass, build recommendation, social re-entry prompt, or live event.
  • Player value and business value.

Part 3 - Prioritize And Validate

How would you select the right idea?

What This Part Should Cover

  • RICE or impact/effort/confidence framework.
  • Prototype, beta, A/B test, or limited event rollout.
  • Risks such as economy inflation, pay-to-win sentiment, veteran-player resentment, or production cost.

Part 4 - Define Success

What metrics would show whether the feature worked?

What This Part Should Cover

  • Retention, session count, feature completion, conversion to regular play, satisfaction, revenue quality, and guardrails.

What a Strong Answer Covers

  • Shows a repeatable ideation process.
  • Grounds ideas in evidence and player segments.
  • Prioritizes with tradeoffs, not taste.
  • Protects long-term game health.

Follow-up Questions

  • How would you avoid copying competitors blindly?
  • What if whales love the feature but casual users hate it?
  • How would you test without disrupting the game economy?
  • What guardrail would make you stop the feature?
  • How would you involve design and live-ops teams?

Solution

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