Staying Up to Date with Tech & Product Trends
Strategy and product sense questions test whether you've been paying attention to the world your interviewer operates in. Companies will ask hyper-practical questions about their own products and problem spaces. Like a Siri team at Apple asking, “How would you improve siri with AI?”
Companies will also ask about products far outside their own portfolio, as Meta asks about designing Google Maps. The pace of change right now means a few months of inattention show up immediately in your answers. Interviewers want to hire PMs who keep their products ahead of the market. Your answers tell them whether you'd be that person.
In this lesson, you will learn how to set up an AI-powered system that keeps you current on tech and AI so you can walk into any interview ready to discuss real, recent moves with a genuine point of view.
Asked at 
Asked at Why this matters now
Competitive moats that used to take years to build now collapse in months. Interviewers at Frontier AI Labs, FAANG, and unicorn startups are specifically evaluating whether you track the market, because PMs who don't get surprised by the competition on the job. Beyond awareness, they want to know you engage with AI products firsthand, not just follow the news about them. The candidates who stand out in strategy and product sense interviews are not the ones who studied harder the week before. They are the ones who regularly track the market.
Don't get caught off guard. Staying up to date may show up early.
At Google, a L5 PM candidate reported that a competitive strategy question surfaced as early as the hiring manager call.
The three layers
There are three layers to staying current, and they target three different problems. The first solves for awareness. The second solves for depth. The third solves for credibility. Candidates who only build the first layer know what happened. Interviewers can tell which layer someone is operating from within the first few minutes of a strategy question.
Layer 1: Passive intake. Information that keeps you current without demanding attention. You set it up once and it runs.
Layer 2: Active synthesis. Taking one item from your passive intake and spending 10 minutes thinking through the strategic logic behind it.
Layer 3: Hands-on fluency. Trying at least one AI or tech product you are learning about, even briefly, so you have real opinions about it.
Layer 1: Passive intake
Table stakes first. Search "AI trends" or "tech news" on LinkedIn, X (formerly known as Twitter), and whatever other platforms you use. Follow 5 to 10 accounts that post about tech strategy and product. Engage with what resonates. The algorithm updates itself in about two weeks and from then on ambient exposure is built in without any extra time.
Then build your own newsletter. This is the part candidates often skip, and it is the most valuable thing in this entire module.
Open Claude and create a new Project. Name it something like "Interview Prep: Trends" In the project instructions, add context about who you are targeting so every response is calibrated to your situation:
"I am preparing for a PM interview at [company A, company B, company C]. My interview is on approximately [date]. When giving me briefings or analysis, always prioritize news and moves that are most relevant to these companies, their competitors, and the AI and product trends they care about most."
Once the project is set up, create a daily scheduled task in Cowork that runs every morning and delivers a briefing to your email. Here is the prompt for that task:
"Search for and deliver my daily interview prep briefing.
Section 1: [Companies I'm interviewing at]. Any news from the last 24 hours: product launches, executive changes, earnings, partnerships, regulatory actions, or anything a PM candidate should know before walking in.
Section 2: FAANG and major AI company moves. What did major tech companies do strategically in the last 24 hours? Prioritize product launches, acquisitions, partnerships, and competitive moves. For each item, one sentence on what happened and one sentence on why it matters.
Section 3: Policy and legal. What happened in AI regulation, legal cases involving tech, or government actions? One sentence on what changed and one sentence on what it means.
End with two tasks for today: (1) Pick one item from sections 1 or 2 and frame it as a question to analyze: 'Why would [company] do [this move] right now?' (2) Name one AI or tech product from today's briefing that I should spend 5 minutes trying."
The result is a briefing that arrives every morning before you open email, tailored to the company you are interviewing at, and pre-loaded with your daily practice tasks. You configure it once and it runs.
Layer 2: Active synthesis
Each morning's briefing ends with one move to analyze.
Take the question your digest surfaces, for example, "Why would ChatGPT create a family product right now?" and work through the strategic logic using the same framework you would use to answer a product strategy interview question. You are reverse-engineering a real company decision.
Ask yourself:
- What was the company's position before this move? What competitive pressure or opportunity created the opening?
- Why now? What changed in the market, the technology, or the regulatory environment?
- Who benefits and who is threatened? Name specific companies or user segments.
- What are they trying to validate? What does success look like for them 12 months from now?
- What would you have done differently?
This is how an OpenAI growth PM candidate described a competitive landscape round that taught them the difference between Layer 1 and Layer 2: "I probably overprepared for [layer 1]. I came in with a thorough competitive breakdown, but the interviewer did not seem to care much about the research itself. She quickly shifted to what I would do with it, how I would act on it, and how I would launch based on those insights." Awareness of the landscape is table stakes. Having a formed opinion on what to do next is what separates candidates.
Why would ChatGPT create a family product?
Position before the move: ChatGPT's user base skews toward power users, students, and professionals. Household penetration is high but unstructured. Parents with young children are anxious about uncontrolled AI access and often block it rather than managing it.
Why now: Apple's Screen Time showed that parents will pay for structured controls. Competitors like Google (Gemini for Kids) and Amazon (Alexa parental controls) have already staked ground. OpenAI risks losing the household as a unit of account if it doesn't move.
Who benefits and who is threatened: Families with school-age children benefit from a managed, safer AI experience. Google and Amazon are threatened on the household layer. Educational platforms like Khan Academy, which was built on top of GPT, could be squeezed if OpenAI moves into the homework-help lane directly.
What they are trying to validate: Whether households will pay for a family-tier subscription rather than sharing a single adult account, and whether a safety-first positioning can unlock a segment that currently avoids AI tools for kids.
What you would have done differently: Lead the launch with educational positioning (homework help, reading comprehension) rather than safety positioning, because the anxiety-driven framing attracts regulatory scrutiny before you have established trust.
That analysis took 10 minutes. Do it three times a week and after a month you will have enough pattern recognition to hold a genuine strategic conversation about almost any company a product sense question throws at you.
Staying current on the industry is necessary but not sufficient at senior levels. Reading newsletters, following practitioners on LinkedIn or Twitter, having a working sense of what's happening all builds background awareness.
Senior+ candidates must work out and have opinions ahead of time. They keep a running record of takes on products they've studied: what the strategy is, why it might succeed or fail, what they'd do differently.
That habit of writing opinions down, not just consuming other people's, is what produces answers that feel specific and defended rather than hedged and generic. Interviewers feel the difference immediately.
Interviewers can tell when you are forming your opinion in real-time vs. when you have thought through it prior.
Run this directly in Claude inside your prep project. Paste your briefing item and say: "Walk me through the strategic logic behind this move using a product strategy framework. Then push back on my analysis when I share it." The back-and-forth sharpens your thinking faster than working through it alone.
If you learn best through conversations, find thought partners in our peer mock interview tool and keep the conversation going with PMs you vibe with.
Layer 3: Hands-on fluency
Each morning's briefing also ends with one product to try. Try it. Five minutes is enough.
The candidates who most convincingly discuss AI products in interviews are almost always the ones who use AI tools regularly for real tasks, not tutorials. They have actual opinions: things that surprised them, things that did not work the way they expected, places where the product changed how they approached a problem. You cannot get that from reading about a product. You get it from using it.
When you try the product your digest surfaces, notice three things: what does it do well, where does it feel rough or incomplete, and what would you change first if you were the PM? Those observations are exactly what interviewers at AI-native companies are listening for when they ask about product strategy or improvement questions.
Five minutes is not enough to become an expert. It is enough to have a genuine reaction to current trends, and that is what this interview is testing for.
Putting it together
Set up the Project and the daily task today. Tomorrow morning, do the analysis task and try the product. The day after, do it again.
The candidates who walk into strategy and product sense interviews with genuine conviction are not the ones who know the most. They are the ones who built a system and let it run.