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"How would you improve Google Maps?"

How would you improve Google Maps?

Updated Jun 2026 Calibrated to the strong-hire bar

This is the most common product-sense prompt at Google, and the most reliable way to fail it is to list features. The interviewer is scoring whether you can narrow to one user segment, surface a need they actually have, and commit to a bet you can defend. A backlog is not product judgment.

Before you write a single note: Ask Maps (conversational local search) launched March 2026 on Android and iOS in the US and India, with CarPlay and Android Auto expansion planned. Immersive Navigation launched the same month, using Gemini to process Street View and aerial imagery into 3D renderings with transparent buildings, lane-change highlights, and crosswalk markers. Proposing either of these as an original idea signals you have not used the product recently. Google I/O 2026 also announced Maps’ integration into a broader agentic discovery layer through AI Search agents. A candidate who knows this has a stronger frame for where the product is going and what is already solved.

Know the business model before you pick a goal

Maps’ ad revenue is tied to local place visits, not navigation sessions. The metric that matters is trips that end in a real-world transaction: a restaurant visit, a store purchase, a hotel check-in. When you clarify the goal at the start of your answer, this is where to land. It gives you a principled reason to deprioritize improvements that make the map prettier without changing behavior.

Maps operates at scale that is worth citing: over 300 million places indexed, 500 million community contributors, more than 5 million real-time traffic updates per second, and over 10 million disruption reports added daily by the community. That last point matters: Maps is a live social graph, not a static dataset. The routing and data layers are not where it fails. The decision layer, helping a user move from “I want to do something” to “I have a plan and I showed up,” is where the gap remains even after Ask Maps launched.

Structure a strong answer

Clarify the goal, segment users, choose one segment with an underserved need, propose one focused solution, name the success metric, and state the tradeoff explicitly. Google interviewers score on this full arc: goal, segment, pain, solution, risk, metric.

strong

"Before I dive in, let me clarify the goal: I'll optimize for driving incremental local place visits, since that ties directly to Maps' ad business. I want a segment where improving that metric is actually possible, not just where there are more daily users.

Commuters are well served: navigation and live transit features are mature. Business travelers have solid tools. But occasional local explorers are underserved: people in an unfamiliar city for a weekend who want to decide where to go, not just route to a known place. Ask Maps handles simple queries well, but it breaks down on multi-constraint planning: 'two hours, walking distance from my hotel, one indoor option in case it rains.' That is not a search problem; it is a planning problem, and no current feature solves it end-to-end.

I would build a structured afternoon-planner flow: the user inputs a time window, starting location, and one or two constraints; Maps returns a sequenced 2-3 stop route with live busyness, walk time between stops, and one fallback option for weather or crowds. The primary success metric is multi-stop plan sessions that complete a navigation start, a direct signal of intent converting to a real-world visit. Secondary: place-visit confirmation rate from users who started that session.

The risk is clutter in a product that already has a busy search surface. I would ship this as an opt-in surface behind a long-press on the current location pin, not in the main search bar. That keeps the core experience clean and lets us learn from an engaged audience before scaling. The deliberate tradeoff: I am not improving the commuter experience, which has far more daily sessions. But commuter trips are high-intent and destination-known; incremental improvements there do not produce new place visits. Occasional explorers are where a better decision-support tool generates a trip that would not have happened otherwise."

weak

"I would add AR walking directions, better offline maps, EV charging stations, and a social feed so friends can share places." No user, no goal, no tradeoff. This reads as a backlog. It also signals you have not used Maps recently: EV charging and offline maps already exist in the product, and AR navigation launched in stages years ago.

Handling pushback

Google interviewers push back. The two most common challenges, and how to handle them without unraveling your answer:

“Why occasional explorers over commuters? Commuters are a much bigger segment.”

Acknowledge the size directly, then redirect to the mechanism: “You’re right that commuters represent more daily sessions. But commuter trips are high-intent and destination-known; the routing is already excellent, and improving it further does not produce a new local visit. Occasional explorers are the segment where a better decision-support tool actually creates an incremental trip. That’s the mechanism that moves ad revenue. Volume of sessions and incremental place visits are different metrics, and I’m optimizing for the one that matters to the business.”

“What else would you improve, or what’s a second segment you considered?”

Do not abandon your first pick. Extend it: “A close second is group trip planners coordinating a multi-stop outing. They have the same multi-constraint problem with an added coordination layer: shared itinerary, voting on options among friends. I deprioritized it because the group coordination surface is a larger build, and the solo explorer insight gets to MVP faster with a cleaner signal. If we validated the solo flow, group planning is the natural extension, and the core planner feature carries over.”

The 2026 reframe

Feasibility is effectively free for Google. The interviewer assumes you can build whatever you propose. What they are testing is whether the bet is viable (does it move a metric that matters to the business) and lovable (does it meet the user in a specific moment of ambiguity without adding noise). The candidates who stand out are the ones who understand that Maps’ decision layer still has room even after Ask Maps launched, and who can articulate why their pick moves local ad revenue rather than just improving a satisfaction score.

See the CIRCLES framework for the full answer structure and feasibility is free for the 2026 lens that applies to every product-sense question at Google.

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