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Feature Flagging
Your Way to
Product Success
What are we
covering today?
● How product building has changed in the
last decade
● Intro to feature flags - Who, What, When,
Where
● Considerations for choosing a Feature
Flagging tool - JBTD for product managers
● Demo of VWO FullStack
2
How we build product
has changed
dramatically?
1
3
Some philosophy first:
4
What is product
success and why it
so matters(a lot)?
● The API Economy - Execution
de-risked
● The rise of Social media and
virality
● Talent density 100X
● End of the beginning - Utility
phase of the internet
5
2021
The cost of
being late
The cost of
being wrong
2010
The cost of
being wrong
The cost of
being late
Feature Flags
2.
6
Who? What? Where? When?
Origins of feature flagging
● Championed by Martin Fowler
● Also called Feature toggles or Functionality
switches or feature Flippers
● “Conditional code logic” during runtime
without deploying code
● Conditions can be target audience,
timeframe, business metric etc
7
Who?
and
what?
Use cases of Feature flags
8
Where?
● Canary releases
● Quicker releases or Testing in PROD or
Kill Switch/Roll back
● Experimentation (AB Testing)
● Feature gating/Operational use cases
9
When?
● Release toggles
● OPS toggles
● Permission toggles
● Experimentation toggles
Types of feature flags: Categorized broadly into
4 types based on longevity and dynamism
| 10
PM jobs to be
done with feature
flags
3.
10
Product manager
When we release software I want to control the release process so that I
can choose the timing, audience of the release and reduce release risk
● Decouple deployment and release
● Rollback without deployment
● Phased rollout
When we experiment with features I want to have the ability to tweak
experiments without assistance from the dev team so that I can use
real-time data to improve experiments
When we release software I want to control operation toggles without
assistance from the dev team so that I can work efficiently and
independently
| 12
4.
12
Buying
considerations
Evaluation
criteria
13
Home grown Vs Open source Vs SAAS
● Target using 1st and 3rd party data
● Negligible impact on system performance
● Easy to integrate/maintain for developers
● Fits in your workflow
14
VWO
Fullstack
demo
5.
?
Questions

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Ff for product success

  • 1. Feature Flagging Your Way to Product Success
  • 2. What are we covering today? ● How product building has changed in the last decade ● Intro to feature flags - Who, What, When, Where ● Considerations for choosing a Feature Flagging tool - JBTD for product managers ● Demo of VWO FullStack 2
  • 3. How we build product has changed dramatically? 1 3
  • 4. Some philosophy first: 4 What is product success and why it so matters(a lot)?
  • 5. ● The API Economy - Execution de-risked ● The rise of Social media and virality ● Talent density 100X ● End of the beginning - Utility phase of the internet 5 2021 The cost of being late The cost of being wrong 2010 The cost of being wrong The cost of being late
  • 7. Origins of feature flagging ● Championed by Martin Fowler ● Also called Feature toggles or Functionality switches or feature Flippers ● “Conditional code logic” during runtime without deploying code ● Conditions can be target audience, timeframe, business metric etc 7 Who? and what?
  • 8. Use cases of Feature flags 8 Where? ● Canary releases ● Quicker releases or Testing in PROD or Kill Switch/Roll back ● Experimentation (AB Testing) ● Feature gating/Operational use cases
  • 9. 9 When? ● Release toggles ● OPS toggles ● Permission toggles ● Experimentation toggles Types of feature flags: Categorized broadly into 4 types based on longevity and dynamism
  • 10. | 10 PM jobs to be done with feature flags 3. 10
  • 11. Product manager When we release software I want to control the release process so that I can choose the timing, audience of the release and reduce release risk ● Decouple deployment and release ● Rollback without deployment ● Phased rollout When we experiment with features I want to have the ability to tweak experiments without assistance from the dev team so that I can use real-time data to improve experiments When we release software I want to control operation toggles without assistance from the dev team so that I can work efficiently and independently
  • 13. Evaluation criteria 13 Home grown Vs Open source Vs SAAS ● Target using 1st and 3rd party data ● Negligible impact on system performance ● Easy to integrate/maintain for developers ● Fits in your workflow