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What Is Lean?
Jonathan IrwinManaging Director & AdvisorNeo San Francisco
jonathan.irwin@neo.com@jonathanirwin
Thursday, January 30, 14
is 83 people.43 engineers.15 designers.10 product leaders (like me).and some overhead.
We advise.And we build products.
Thursday, January 30, 14
So, what is Lean?
Thursday, January 30, 14
Lean is a scientific data-drivencustomer-centric
process for finding product/market fit. for reducing uncertainty.for continuous learning.for building the right thing.
write hypotheses, and systematically
test our assumptions
measure everything
talk to our customers
products customers will adopt &
pay for
so you don’t waste time
building the wrong thing
so we’re always informed by
the customer
because building things people don’t want or use sucks!
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Lean is not a replacement for vision. permission to make crap.cheap.easy.the only way to make stuff.
Lead with vision.But test assumptions ruthlessly.
but it’s okay to take ondebt in order to learn
not cheap. efficient
it’s actuallyvery difficult
Agile
Waterfall
If you build it they will come
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Examples.
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Price Test Landing Page
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Price Test Landing Page
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Price Test Landing Page
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Wizard of Oz
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Demo Video
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Concierge
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Pre-Sales
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Pre-Sales limited time!
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The MVP is not only a product, it’s a process.for learning
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In all these cases, the product teams learned about market size
adoptionpricingscopebetter ideas they didn’t have themselves....BEFORE building the whole
thing.
...from actual customers.
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The question is NOT, “Can you build it?”
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The question is, “Should you build it?”
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Where do we start?
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1.Solve real, painful problems that exist in a reachable market.2.Enable & measure progress around outcomes vs. outputs.3.Value making over analysis.4.Create an environment of continuous learning.5.Encourage failing fast.6.Work on cross-functional, dedicated teams.7. Increase shared understanding by externalizing your work.8.Remove waste from deliverables and process.9.When uncertainty is high, reduce complexity.
Lean Principles
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How do we do it?
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1.Declare your assumptions.2.Identify the riskiest assumptions.3.Write a hypothesis to test your assumption.4.Run an experiment (interview, MVP, etc.)5.Measure the outcomes.6.Synthesize the learnings, and do it again.
Tactics
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Now you’re dangerous.
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