USE CASE
Promotion preparation
Start with reviewed core questions. The extended library remains available below for broader exploration.
1060 questions
Extended library · not reviewed question by question
These questions remain useful for discovery, but have not received the same question-specific review as the core set.
Extended questions 201–250 of 996 on this page.
C · Value judgment and direction setting50
- For the whole, is the part you own a lever, a fulcrum, or just one link? How do you judge that, and how do you show it is not merely important-looking?
- The team wants to keep optimizing the performance of a core API. What basis do you use to decide how far is far enough, and when to stop investing more?
- A new platform could reduce future development cost, but the legacy system needs two more years of support and this quarter funds only one major investment. How would you compare build, migration, and status-quo options?
- As the industry enters a stock era, the company demands a complete shift from thinking in transaction volume to thinking in net profit. How do you raise net profit by adjusting the take rate and optimizing supply-chain operating costs without triggering large-scale exits or protests from merchants or creators?
- A design-research team has two researchers, while three product lines want critical interviews this month. One decision is irreversible; another can start with low-cost data. How would you allocate capacity?
- How would you calculate a product direction’s return on investment? How would you account for labor, cost, and revenue, use annual recurring revenue (ARR), and identify where the calculation might overstate value?
- Three business teams have raised similar needs, and someone suggests building a shared platform. How do you judge whether it is worth building, or whether each domain should first get a local solution?
- The boss or the business side squeezes the schedule and says "ship first, messy code is fine". As the owner, how do you respond? Which quality can give way and which cannot, and how do you make the concession open and time-limited rather than quietly becoming permanent debt?
- What were the short-term and long-term benefits of this project? When the two conflicted, how did you trade them off?
- You discover that a new direction you pushed is wrong. How do you cut your losses, how do you judge whether to continue, adjust, or stop, how do you treat sunk cost, and how do you explain it to those involved?
- The business wants new features while the team has built up technical debt. How do you decide how much to invest in each this quarter?
- A competitor launches a lower-priced substitute. Customers start negotiating harder, but usage has not changed much. How would you choose a response?
- A free feature attracts many active users, but inference and support costs rise too. How would you evaluate the business role of the free tier?
- Marketplace subsidies increase transactions, but supply and demand fall back when subsidies stop. How would you judge whether the subsidies created sustainable value?
- During a brand campaign, organic search and direct visits rise, while search-ad spend also increases. How would you estimate brand contribution without counting conversions intercepted by performance ads as brand outcomes?
- A campaign randomly holds out 10% of users, but they may still receive sales outreach and organic recommendations. Conversion is higher in treatment, and the channel team wants more budget. How would you assess contamination and results?
- Orders rise 30% during a discount campaign, but many come from existing customers who would have bought anyway, and product mix changes. How would you estimate incremental gross margin?
- The algorithm team expects an upgraded recommendation model to lift conversion by 3%, but operations would lose the ability to adjust key placements manually. How would you design an experiment and decision rules while accounting for value the experiment cannot measure?
- After the bot upgrade, sessions with no handoff to a human are counted as resolved, and the rate went from 72% to 91%. In the same week the handoff button moved into a submenu and the denominator changed. How do you respond today to the proposal to cancel weekend human coverage?
- What business result did your project bring? How do you confirm it came from this project and not from something else?
- Retention rose during a marketing campaign, and the team credits the channel, but a new product flow also launched and participants may already have been more active. How would you establish a credible comparison, estimate the campaign’s net lift, and state the limits of the conclusion?
- Who you compare against changes the conclusion directly. Why did you choose these comparisons, and how would your conclusion change with a different one?
- How is your core metric defined? What are the numerator, denominator, time window, de-duplication, and exclusion rules, and why is it the core metric?
- How was your funnel built? Why are the steps divided the way they are, where does most of the drop-off happen, and how do you confirm the steps neither overlap nor leave gaps?
- How do changes at each funnel stage ultimately act on the business metric? Improving which stage by a little moves the business metric the most, and what is that judgment based on?
- Once your metric is converted to the industry's common definition, where does it stand? What assumptions did the conversion make, and what information did it lose?
- An improvement you made has no reliable numbers. What other evidence would you offer that it really improved something?
- A target was set for a metric you own. How do you break it down into specific levers and actions, and judge along the way whether it can be met?
- The metric was met, but you felt the business did not really get better. Has that happened to you? How did you notice, and what did you do?
- After a feature launches, how do you judge whether it met its original goal? When do you review it, and what would you decide differently afterwards?
- The boss raises a business pain, such as high acquisition cost and poor retention. How do you translate it into goals the technical team can tackle, and show how technical means act on those business metrics?
- For the last new feature you launched, what were the specific before-and-after changes in the core metric, such as conversion, click-through, or retention? If the numbers fall short of expectation, along which dimensions do you usually investigate the cause?
- A feature encourages invitations, so inviters and friends may land in different experiment groups. Results are significant, but spillover cannot be fully isolated. How would you assess the conclusion?
- User mix or external conditions change during a project, making the original baseline incomparable. How would you continue judging the outcome?
- The target metric improved, but refunds, complaints, or manual handling also worsened. How would you decide whether the outcome is acceptable?
- The initial effect of a feature is strong but fades over several months. How would you distinguish novelty from lasting behavior change?
- The final business outcome will take months to appear, but the team must decide whether to continue investing now. How would you use leading indicators?
- Several teams changed the product, pricing, and operations at once, and the overall outcome improved. How would you assess each contribution?
- An experiment shows no expected lift, but also does not prove the idea ineffective. How would you decide whether to continue, change, or stop?
- Two projects each meet some goals, but one delivers more user benefit per unit of investment. How would you reallocate resources?
- A pilot meets its target, but results vary when expanded to more regions or segments. How would you judge whether the result is replicable?
- A redesign improves paid conversion but leaves more users unable to complete a core task. How would you judge whether the growth is worth it?
- The company's funding lasts about 12 months, the key capability you need takes roughly 18 months to grow, and the market window has only 6 months left. How does your plan handle these unsynchronized time scales?
- When planning the next six months, do you work forward from your resources and current state, or backward from the goal? Do the two give the same conclusion?
- Your quarterly plan leaves out several important items. How do you record them so that when someone wants to revisit one later, the discussion rests on the judgment rather than re-arguing how important it is?
- How do you confirm that your team's goals are consistent with the company's strategic goals? When they are not, do you adjust the team's goals or try to influence the goals above?
- If you had to plan a technical direction over three to five years, how would you do it? How do you keep it from becoming a vision list that cannot be tested?
- The company’s growth is slowing, and your manager asks you to explore an unfamiliar, highly competitive market with a limited budget. What would you learn and test in the first 30 days, and what evidence would determine whether to continue or stop?
- Looking back at work you have already finished, which three things do you now think were not worth doing? Why did you do them then, and what changed in your judgment?
- The team lacks capacity for all three: a short-term revenue project, strategic exploration, and technical refactoring. What criteria would you use to compare and rank them? How would you explain strategic value or maintenance risk that cannot be measured directly?
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