Dataford
Interview QuestionsInterview GuidesExperiencesCoaching
New
Pricing
Get started
Dataford
Popular roles
Software EngineerData AnalystData ScientistData EngineerBusiness AnalystAI EngineerMachine Learning EngineerProduct Manager
Browse
Browse All RolesEvery role hub, from analyst to MLBrowse All CompaniesCompany-specific interview loopsAll Interview GuidesThe full guide library
Top questions by role
Software EngineerData AnalystData ScientistData EngineerBusiness AnalystAI EngineerMachine Learning EngineerProduct Manager
Top questions by skill
SQLPythonStatisticsMachine LearningA/B TestingSystem DesignGenerative AIProduct SenseMetricsBehavioral
Browse all questions →Try a mock interview
Experiences
Practice
Mock InterviewsTimed interview simulations with feedbackCoaching1:1 coaching with people at your target companiesSuccess PathYour 6-week structured planModulesCurated lessons by topicWebinarsTalks from ex-Big Tech data leadsPlaygroundA free-form scratch editor
Learn
BlogInterview strategy and career adviceTech Job Market ReportHiring trends across data and AI rolesFor UniversitiesDataford for career centersAbout DatafordWho we are and how we build
Pricing
Build my plan

Research for Gaming Product Decisions

EasyProduct Sense00:00
Practice interviewer
In session
5 left
00:00

Your question is Research for Gaming Product Decisions. Take a moment with it on the right.

Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).

You need to log in / sign up to chat or submit.

Problem

Company Context

Arcadia Games is a mid-sized mobile and cross-platform game publisher with 25M monthly active players across casual and mid-core titles. The company has strong acquisition performance, but several recent feature launches underperformed because teams relied on analytics and competitor benchmarking more than direct player research.

Problem

You are interviewing for a PM role supporting Arcadia's live gaming portfolio. The hiring manager wants to understand what research experience you have that is most relevant to gaming products and how you would apply it to real product decisions. One of Arcadia's flagship multiplayer games has healthy top-of-funnel growth, but Day 30 retention has declined from 18% to 14% over two quarters. Qualitative feedback is mixed: some players say progression feels repetitive, while others say social features are hard to discover. Leadership needs a PM who can translate research into clear product priorities.

Your task is to describe the research approaches you would use, what you would learn from them, and how that research would influence roadmap decisions for a gaming product.

Deliverables

  1. Identify the most relevant types of research for this gaming problem and explain why they fit.
  2. Define the target player segments you would study first and the key hypotheses you would test.
  3. Show how you would synthesize qualitative and quantitative insights into product opportunities.
  4. Recommend 1-2 product changes you would prioritize based on likely research findings.
  5. Define how you would measure whether your research-informed decisions improved the product.

Constraints

  • You have 6 weeks to produce actionable recommendations for the next quarterly roadmap.
  • Research budget is limited to one external vendor study plus internal analytics support.
  • Engineering can only support one medium-sized feature and one lightweight UX improvement this quarter.
  • The live game cannot risk major disruption to monetization or matchmaking stability.