Main Takeaways: - Why is decision making crucial to Product Management? - Why employing data is important for successful decision making? - How to convert your data into information and draw decisions?

1. www.productschool.com
Informatics of Decision Making
by Expedia Group PM

2. CERTIFICATES
Your Product Management Certificate Path
Product Leadership
Certificate™
Full Stack Product
Management Certificate™
Product Management
Certificate™
20 HOURS40 HOURS40 HOURS

3. Corporate
Training
Level up your team’s Product
Management skills

4. Free Product Management Resources
BOOKS
EVENTS
JOB PORTAL
COMMUNITIES
bit.ly/product_resources
COURSES

6. Informatics of Decision
Making
Vibha Choudhary

7. Average number of decisions made by an
individual EVERY day35K

8. Vibha Choudhary
● Product Manager at
Expedia Group
● 7+ years in tech
● MBA from Michigan State
(Go Green)
● Started as an engineer,
worked at TCS
● Bachelors in Information
Technology
In my free time
● Yoga and Running
● Creating Art
● Nerding out on Age of AI
+ Moonshot podcast

9. $$$$ $$ $$
3.8 miles 6.7 miles 2.4 miles
Medium High Medium
Grocery List
Value for
Money (WTP)
Distance/Proxi
mity
Safety

10. Every choice we
make is influenced
by INFORMATION

12. DATA
Adding meaning to data → INFORMATION

13. Make data
INFORMED
decisions!

14. Decision making as a Product Manager
1 2 3
Evaluate
Measure
success and
performance
Create
Decide what to
build and
prioritize
Communicate
Teams and
stakeholders

15. DECIDE
WHAT
TO
BUILD

16. 33M → 109M subscribers
$1B → $3B sales
$5.7B → $85B market value
Netflix’s transformation using Data
“The brand didn’t get here by accident. Every decision made at Netflix is
deeply driven by data” - Jeff Magnusson(Data Platform Manager @Netflix)

17. Know the WHY before you decide
Understand the
business problem
and decide the final
outcome
Analyze Data to
identify opportunity
estimates,
investment and
potential returns
Gather Data based
on micro/macro
economics, user
research and
market insights
Classify Data to
identify relevant vs.
irrelevant data,
remove noise and
segment qualitative
vs. quantitative data

18. Measure
and
Validate

19. Always be TESTING

20. “Netflix runs about 250 A/B test an year and chooses 100,000 users to test
it’s hypothesis” - Todd Yellin(Vice President Product @Netflix)
Profile Type Image A Image B
Comedy 5.7 6.3
Romance 7.2 6.5
Craft a Hypothesis and know
what to test
Identify the correct Test
Approach
Look for Statistical Significance
Consider External Factors
p-value < 0.05 is statistically significant (less
than 5% chance than results are random)

21.
“The problem with
revenue as an
indicator of product
success is that by
the time you’re
losing it, it’s
probably too late,”
- Todd Olson,
CEO @Pendo
Measure against Success Metrics
Usage → Adoption + Engagement
Efficiency → How many users are
converting
Satisfaction → Net Promoter Score

22. PIVOT!

23. Negotiate
Your
Decisions

24. Zillow has data on over 110
million homes and it uses this
data to create content that is
meaningful to its customers.
Google’s two-minute film reviewed the top
searches of 2016. It received an
overwhelmingly positive viewer response
and was the top 1% of all ads tested in 2016.

25. Storytelling using Data Visualization
Customers
Drive more traffic on
the platform and
increase stickiness
Teams
Communicate
timelines and
dependencies
Stakeholders
Evangelize and get
buy-in from business
partners

26. I have not failed, I have just found 10,000 ways
that won’t work!

27. www.productschool.com
Part-time Product Management Training Courses
and
Corporate Training