Published Posts
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The Fundamental Concepts of Hypothesis Testing
This essay covers the central concepts of Hypothesis Testing such as sampling distributions, statistical significance, Null and Alternative Hypothesis, statistical power, the Central Limit Theorem...
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My Synthesis of Analytics
I will discuss the analytical paradigms I label as the Request-Response model and the Push model; the outputs of analysts; the key questions to ask requestors under the Request-Response model;...
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CTG, Mix Shift and Performance Effect
Contribution to growth (CTG), Mix Shift and Performance Effect are analytical tools for gaining insight into the relationship between overall vs. segment level changes-be it customer, product, marketing channel, region...
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A Marketplace Monetization Test Plan
My first post is essentially a planning document for a marketplace monetization experiment. My aim was to create a case study that can serve as a framework for myself when...
1/7: Context and TAM
2/7: A Conceptual Model
3/7: Externalities and Breaking Even
4/7: Dynamics Over Time
5/7: Testing approach, inferring results, next steps if test fails
6/7: Metrics
7/7: Takeaway
Google Sheets with data
Work In Progress
Upcoming Posts
- 1. My synthesis of eCommerce
- 2. My synthesis of Monetization
- 3. My synthesis of Online Product Discovery
- 4. Patterns for SQL Problem Solving
- 5. My notes on how MVT differs from A/B testing
- 6. Nonintuitive analysis: Simpson's Paradox and its cousins-Mix Shift, Base Rate Fallacy, Jevon's Paradox, Ecological Fallacy
- 7. Time Series Data Smoothing: Why Weekly Data May Reveal A Different Story Compared To Daily Data
- 8. Effect Dilution through Funnels
- 9. The Challenges of Attribution
- 10. Seasonality Adjustment Approaches and their Limitations
- 11. Notes on Diff-In-Diff Analysis
- 12. Notes on Marketplace Simulators
- 13. Forecasting Models and their Limitations
- 14. ANOVA, ANCOVA and their applications
- 15. Mapping out Data Products
- 16. Analyzing Rare Events
- 17. Non Parametric methods and their applications
- 18. Analysis and Narrative Fallacy
- 19. A Repository of Analytics Problems
- 20. Product and Business Equations
- 21. An eCommerce Dashboard
- 22. Bias, Variance, Type 1 and 2 errors and their Implications
- 23. Charting CAC, LTV, Payback periods for various co's
- 24. Low or no measurability: Preparedness Paradox etc.
- 25. p-values in Uniform Distributions
- 26. The role of Analytics when stories drive the world