is'nt the total no of rides will be 10 lakhs, 1.2L + 8L + 80T = 10L = 1M

If they ask which exam 😢

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can we apply the resale logic in this questions as well

household ka kya karna hai, irrartional approach

Gender as a clarifying question. Income segmentation can be incorporated as well,,

Hey, can you also please provide an extension of this video wherein you try to estimate the total number of people at the airport at any given point of time

Hi can you please elaborate this using the power users, low active users etc approach?

how you calculate 1.5b

This is really helpful. Please keep posting

Decrease in Conversion, when listings increased. Hypothesis 1: On increase in listings there should be an increase in average scroll depth per user, if so then there may be listings with <2 ratings listed in a random order on listing page which resist users to book. Hypothesis 2: we will check mom user growth and repeated users visit, it may be a case where mom% decreased and only repeated users who prefer to opt same property which they opted before.

Very helpful

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Please upload more cases, you teach very well

Or say that you were a freelancer

Another question we can ask is about if business is B2B or B2C?

hypothesis for driver uptime and driver charn 1. increasing workload and burnout. --- root cause in workload and hiring more drivers 2. poor route management. --- optimize route algorithmn, to support drivers 3. long route. --- riders requesting for long route or not demand areas.

2.76 L is the ideal number that would be required to serve ~135M ATM user. On top of this do we also need to consider the bank's efficiency in putting them up to meet this requirement? May the banks are only 80% efficient and behind by 20%.

Why have we considered internet penetration and smartphone penetration separately? Wouldn't there be a lot of overlapping users who don't have internet and smartphone?

Hare Krishna ❤ Thank you so much bhaiya ❤

Hare Krishna ❤ Thank you so much bhaiya 😊

Shri radhe❤ Thank you so much bhaiya

Hare Krishna bhaiya 😊 Thank you so much 😊

Hare Krishna ♥️ Thank you so much bhaiya ❤

Hare Krishna bhaiya ❤

Sir, In the interview we won't be having the screenshots or UI of any app. So in that case, how should we go about explaining the funnel journey?

Hare Krishna bhaiya 😊

Hare Krishna bhaiya ❤

Hare Krishna bhaiya ❤

Hare Krishna bhaiya Thank you so much 🙏🏻😊

Hare Krishna bhaiya 😊 Thank you so much 😊

Hare Krishna bhaiya Thank you so much ❤😊

Hare Krishna bhaiya Thank you so much 😊

Very helpful

Great explanation

Hare Krishna bhaiya 😊 Thank you so much ❤

Hare Krishna bhaiya 😊 Thank you so much ❤

Can you suggest framework to define north star for any product

Hare Krishna ♥️

good insight

Sir, In the interview we won't be having the screenshots or UI of any app. So in that case, how should we go about explaining the funnel journey?

Excellent please make more videos , very helpful.

Very nicely articulated.

Excellent , keep making such videos

Hello just want to ask my maths is very weak I get jumbled when I see numbers. I understood the concept but I'm finding it difficult to calculate by my own. Could you plzz help me in 1:1 mentorship as I'm a novice & want to learn about PM.

In the clarifying section , can we ask this question, if the 15% dip is a sudden or gradual dip?

Great Explanation!

Hi Shailesh, here is my shot on your question asked in the video. Feel free to add in your feedback and suggestions. 😊 NOTE: I am assuming that there are no issues related to other L0 Metrics like number of sessions per day (User's App Accessing) & Rides Request per session (Stable Demand) Hypothesis 1: Earnings and Effort Imbalance Hypothesis Explanation: Although drivers have high drive uptime, they experience an imbalance between their earnings and effort. Low net earnings due to low per km/minute rates and high Uber commissions cause dissatisfaction, leading to high driver churn rates. Proposed Solutions along with metrics to measure its success: (If this hypothesis is significant) Solution 1: Reevaluate Fare Structure • Introduce Surge Pricing in More Areas: Broaden surge pricing to compensate drivers better during peak times. (Metric: Compare average earnings during surge and non-surge periods.) • Increase Per Km/Minute Rates: Adjust rates to increase earnings per kilometer and minute. (Metric: Average earnings per hour.) Solution 2: Adjust Uber’s Commission • Introduce Commission Tiers: Implement tiered commission rates for long-term or high-performing drivers to reward loyalty and performance. (Metrics: Retention rate, driver churn rate.) Solution 3: Enhance Earnings Transparency • Provide Detailed Earnings Reports & Real-Time Dashboard: Offer detailed reports and a live dashboard breaking down earnings and expenses, including fare breakdown, Uber’s commission, and operational costs. (Metric: Driver engagement with the earnings dashboard on the app.) Hypothesis 2: Competition and Lack of Benefits Hypothesis Explanation: Are drivers attracted to competitive offers from other ride-sharing platforms or different employment opportunities that provide better pay, benefits, or working conditions? Does this contribute to high drive churn rates, despite high drive uptime? Proposed Solutions along with metrics to measure the success: (If this hypothesis is significant) Solution 1: Competitive Compensation • Analyse Competitor Pay Structures: Ensure Uber's compensation matches or exceeds competitors. (Metric: Comparative earnings analysis (Uber vs. competitors). • Introduce Loyalty Bonuses: Offer bonuses for long-term drivers to encourage retention. (Metric: Retention rate, Driver churn rate.) Solution 2: Benefits Program • Develop Comprehensive Benefits Program: Offer health insurance, retirement plans, or perks for security and long-term benefits. (Metric: Enrollment rate in benefits programs, Driver satisfaction scores.) Solution 3: Driver Support and Engagement • Improve Driver Support Services: Provide 24/7 assistance, regular feedback sessions, and engagement programs. (Metrics: Response rate to support services, Participation rate in feedback sessions and engagement programs, Driver satisfaction with support services.)

How to prepare business case study and product case study for business analyst interview? Guide!!