Analytics-for-startups

1. data Driven @startups

2. Ramjee
Engineering
@JUSTEAT India
@BigDecisions
@Datalicious
Tweet me @gantir

3. “Analytics is the measurement of
movement towards your business
goals”
-- Lean Analytics

4. Story
Time
How long does it take to place an order to the
restaurant?

5. What we did
Features
● Remove
distractions like
table booking,
restaurant details
● Repeat past orders
without hassle
Operations
● Update the menu
item availability
● Proactively
remove
restaurants closed
for delivery.
● Order passing App
to restaurants
Backend
● Overhauled call
center app to
shave of seconds
● Better algorithms
to catch fraud.
and a lot more ...

6. 6x order
growth

7. 20% -> 70%
Automated orders passed. Keep in mind the order growth!
16%
Reduction in avg. call handling time
1% -> 8%/30%
Conversion rate (organic/assisted) improvement on App

8. What’s your North Star Metric?

9. Data at Startups
1. People
2. Metrics
3. Technology

10. Early Stage
Just started, Still validating the proposition

11. Early Stage
People
● Founders
Metrics
● Qualitative
● Key metrics?
Technology
● Log everything at
most granular
level.

12. Traction
You just launched your product, teething challenges

13. Traction
People
● Engineers
● Share and talk
about data
● Culture of data
Metrics
● Do not over
engineer
● What? & How?
● Simple
○ Engagement
○ Growth
● Discover Leading
Metrics
Technology
● GA/Mixpanel/Seg
ment
● Dashboard access
to team

14. Story
Time
What is the optimal way for users to give all the
details we need?

15. What we did
Technology
● Implemented
custom event
tracking.
● Built complete
stack on top of
AWS
EMR/Redshift
● Short turn-around
time to implement
changes
Analysis
● Built funnels to
analyse user
behavior for each
form
Features
● Tested different
UI’s including
Chatbots

16. New Strategy
Pivoted from form based information gathering to
conversational UI.
Helped in aligning all the teams

17. Growth
Answer the Why’s?

18. Growth Stage
People
● Data Engineers
● Analysts
Metrics
● Why?
● Lot of adhoc
analysis to dig
deep
Technology
● Need for advanced
tooling
● Steps towards
Data infra
● Self Serve
Dashboards
● Automate
○ All basic
reports.
○ Repeat
requests

19. Data Journey
Analysis
Enrichment Action
Understanding
Data
Hypothesis
Data Collection

20. Some Learnings
● People over tools
● Trust the team with data
● Give data a seat at the table
● Be curious, Be sceptical

21. More Learnings
● Choose metrics that drive
Outcomes
● Collect all data, keep
systems simple
● Precision over Accuracy

22. Framework: AARRR (Dave McClure)
A. Get users (acquisition and
referral).
B. Drive usage (activation and
retention).
C. Make money (revenue).

23. Framework: Impact
Matrix (Avinash
Kaushik)
● Diagnosis
● Aligning Metrics &
Leadership
● Aligning Strategy & Effort
23

26. “Never lose sight of your North
Star”

27. THANKS!
Any questions?
You can find me at
▫ @gantir
▫ ganti.r@ramjeeganti.com

28. References
● Occam’s Razor (Avinash Kaushik)
● Mode Analytics
● Startup Metrics for Pirates

29. CREDITS
▫ Presentation template by SlidesCarnival
▫ Photographs by Unsplash
▫ North Star by Phys.org