One thing that separates great product teams from the rest is how well they use analytics and experimentation to make decisions. Product teams live in a data-driven world and the bar is rising.
Analytics increasingly offer greater transparency into understanding how your customers are using your product, what’s working, and what isn't. A strong experimentation mindset enables you to systematically drive improvement.
In this webinar, product management expert Dan Olsen shares his Lean Product Analytics Process: a methodical, step-by-step approach to improving your product with analytics and experimentation. Dan also shares advice from his book The Lean Product Playbook, illustrating the concepts with real-world examples and case studies.
Watch the recording to learn how to harness the power of analytics and experimentation to improve your product.
9. The 3 Phases of Your Product
BEFORE
Product-Market Fit
AFTER
Product-Market Fit
Growth
Mainly
Quantitative
BEFORE your
product is live
Phase 1
Test hypotheses,
gain confidence
before building
Mainly
Qualitative
AFTER your
product is live
Phase 2
Improve product-
market fit
Qualitative &
Quantitative
Goal:
Methods:
Phase 3
10. The 3 Phases of Your Product
BEFORE
Product-Market Fit
AFTER
Product-Market Fit
Growth
Mainly
Quantitative
BEFORE your
product is live
Phase 1
Test hypotheses,
gain confidence
before building
Mainly
Qualitative
AFTER your
product is live
Phase 2
Improve product-
market fit
Qualitative &
Quantitative
Goal:
Methods:
Phase 3
What phase are you in?
39. Retention Rate
n Retention rate tracks what % of your
customers are still active over time
~80%
never use
app again
Curve either
goes to zero
or flattens out