What King actually looks for
King, best known for Candy Crush Saga, is a mobile free-to-play studio with roots in Stockholm and a strong presence in London, and it operates today as part of Activision Blizzard under Microsoft. King's business is built almost entirely on live-ops: constant level releases, seasonal events, and finely tuned monetization inside a match-three format that has stayed dominant for well over a decade. Interviewers, especially in product, data, and game design roles, expect you to think in terms of A/B testing, funnel metrics, and player segmentation, since King's design process is famously data-driven, with small mechanical tweaks tested against retention and spend before wide rollout. Because Candy Crush's core loop has barely changed in years while still generating strong revenue, King values candidates who understand that live-service success often comes from disciplined iteration on proven mechanics rather than constant reinvention.
Common questions and how to answer them
How would you decide whether a new game feature is working? King wants a metrics-first answer: define the hypothesis, pick retention or monetization metrics, describe an A/B test structure, and explain how you'd avoid false positives from short test windows. Candy Crush has run for over a decade with a similar core loop. How would you keep it fresh without breaking what works? Talk about the balance between new content (levels, events, seasonal themes) and preserving the mechanics that already retain players, since wholesale changes carry real risk in a mature live-service game. How do you approach monetization design without frustrating free players? Reference soft currency versus hard currency thinking and pacing of paywalls, since King's model depends on a small percentage of paying users subsidizing a much larger free base. In each case, be ready to back up your answer with a specific metric or test design, since King's interviews reward candidates who can move quickly from concept to measurable experiment.
How to prepare
Play Candy Crush Saga or another King title for a meaningful stretch and pay attention to how monetization prompts, lives systems, and event structures are paced, since specific observations land far better than generic mobile gaming knowledge. Brush up on core free-to-play metrics like D1/D7/D30 retention, ARPDAU, and LTV, since King interviews for product and analytics roles lean heavily on this vocabulary. Be ready to discuss A/B testing methodology in concrete terms, including sample size and statistical significance basics. Expect a data or product case study exercise for many roles, where you'll be asked to design or evaluate an experiment on the spot, so practice structuring a clear hypothesis quickly.