Analyses Flashcards
Analysis questions are about testing your ability to understand and make decision from …
- E.g. make calculations and …
data
taking next steps from those calculations, for example digging deeper into different nuances of the alternatives.
→ That is, know what to do with calculated numbers.
Data-driven hypothesis testing, four important parts:
- Knowing …
- Turning …
- … the data
- … your model
the right comparisons to make
insights into action
Modeling
Communicating
Two important skills when it comes to analyses
Quantitative skills
Communications skills
The 4-step approach to quantitative analysis
- Structure
- Ask for data
- Calculations
- Lead from the insights
Structure:
- Show your …
- No numbers, only …
- Use …
full plan to the interviewer
conceptual
step-by-step structures
Ask for data:
- The interviewer …
- Look for …
- Always …
expects you to ask for data
issues that weren’t mentioned but might affect the answer
ask for data first rather than start estimating a number
Calculations:
- Find the soft spot between …
- One math mistake is …
precision and efficiency
fine, don’t overthink it
Lead from the insights (3C)
- Compare with another number to find meaning
- Connect to the case question and initial framework to generate insights
- Create next steps based on your insights
Quantitative skills
- Know what … you need to make to …
- Understand what … and …
- Know where …
- Evaluate data …
- Know how … and turn …
comparisons - get to a conclusion
data is missing - look for it (ask for it)
to get the data you need
in relation to certain bars
you can model data - the raw data into the information you need
Communications skills
- Be able to discuss, on a … level, what your analysis is (before and after you’re running your analysis)
- … your analysis so your interviewer can …
- Consider …
- Know how to … and …
conceptual
Structure - follow your thoughts
possible issues that aren’t mentioned
interpret the number you get - what you should do with it next
