Lean Startup in eHealth
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Transcript of Lean Startup in eHealth
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Lean startup in eHealth5/2015
Pauliina Smeds, Forum Virium Helsinki
Jaakko Ikävalko, Forum Virium Helsinki
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The lean startup model aims at
increasing the odds for success for startups, by reducing the market risks
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The goal is to
eliminate wasteful and inappropriate traditional new product development practices
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This means among others
not writing elaborate business plans
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Also, this signifies
avoiding expensive product trials, launches and failures
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Consequently, one goal is to
diminish the need for high level of initial funding
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The key methods of lean startup philosophy are
• business-hypothesis-experimentation
• iterative product releases
• validated learning
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The objective for experimentations, iterations & learning is to
guide new ventures to only launch products that customers actually want
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In the lean startup approach, a startup is viewed as
an experiment within the context of massive uncertainty
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a startup doesn’t know who is the customer or what is the business model
Extreme uncertainty: in the beginning both the problem and the solution are unknown. Thus, in the beginning,
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Yet,
a startup exists only to create a new sustainable business model
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The primary goal is to
discover a business model that works before running out of money & time. And then scale it.
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The business model or the scaling of a business should not be based on assumptions but instead be
built on tested hypotheses and validated learning
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In the search for a sustainable business model, it’s crucialthat before running out of money, the startup has the ability to either
pivot or persevere
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Pivoting is productive failure for a startup. Pivoting signifies learning something useful.
Pivoting means staying grounded in the initial vision, but changing one dimension of the business at a time.
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A startup should always consider
how many opportunities to pivot is left
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Therefore, it is especially essential to
reduce time between pivots
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This is done by
accelerating validated learning by the build-measure-learn feedback loop
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Most startups are drawn apart by two approaches of building a product when maximizing the chances for success
building the most perfect product
or
releasing early, releasing often
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minimum viable product (MVP) is a synthesis of these two extremes
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Most startups consider an MVP too big: including too many features.
MVP should contain only critical features
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In order to deliver an MVP
a startup needs to be willing to iterate and experiment
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An easy formula
what you think an MVP is, cut it in half
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Customer feedback loops during product development help to eliminate features or products that the market doesn’t want.
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CustomerDiscovery
Problem-Solution fit
ProposedMVP
ProposedFunnel(s)
CustomerValidation
ProductMarket Fit
Business Model
Sales & MarketingRoadmap
CustomerCreation
ScaleExecution
CompanyBuilding
ScaleOrganization
Scale Operations
Customer Development
Source: Steve Blank`s Customer Development by Brant Cooper; custdev.com
Pivot
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Experimenting means testing the ideas against reality.
experimenting is NOT about asking the customers
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Instead,
experimenting means testing hypothesis, setting metrics and measuring how customers behave
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Setting up the metrics requires also
identifying what is crucial in order to establish a sustainable business model
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Questioning the assumptions
• Is the problem worth solving?• Who’s problem is being solved?• Does anyone care about the solution?• Will the customers buy the solution?• How are the target customers solving the problem now?• How will the startup grow?• What is the unit cost model?• What is the unit revenue model?• What are the acquisition costs per customer?• What channels will be used to get to customers?• What is the startup’s unfair advantage that cannot
be easily copied or bought?
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Product - market fit: the point at which the startup can scale profitably
• The customer is willing to pay for the product
• The unit of cost per customer is smaller than the unit revenue per customer
• There is sufficient evidence indicating the market is large enough to support the business
• The sales model is repeatable and scalable
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Unit of progress: validated learning
Problem: unknown
Lean Startup
Solution: unknown
Hypothesses, Experiments, Insights
Data, Feedback, Insights
Customer Development
Agile Development
CustomerDiscovery
CustomerValidation
CustomerCreation
ScaleCompany
User stories
Architectual Spike ReleasePlanning
Iteration Acceptance Tests
SmallReleases
Spike
RequirementsBugs
Latest Version
Next Iteration
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Key Partners Key Activities
Key Resources
Value Proposition
CustomerRelationship
Channels
CustomerSegments
Cost Structure Revenue Streams
Canvas tools, one example
Source: Strategyzer.com
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Summarizing the lean startup approach
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The focus is on
• business model, not on business plan
• fast learning loops: build-measure-learn
• avoiding investing in a bad idea:a quick death is a good death
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What Lean Startups Do Differently
Lean start-ups don’t begin with business plan but with the search for a business model. Quick rounds of experimentation & feedback reveal a model that works. Then, lean startups focus on execution.
Lean Traditional
Strategy
Business Model Hypothesis-driven Business Plan Implementation-driven
New-Product Process
Customer Development.Get out of the office and test hypotheses
Product Management. Prepare offering for market following a linear, step-by-step plan
Engineering
Agile Development. Build the product iteratively and incrementally
Agile of Waterfall Development. Build the product iteratively, or fully specify the product before building it
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Lean Traditional
Financial Reporting
Metrics That Matter. Customer acquisition cost, lifetime customer value, churn, viralness
Accounting, income statement, balance sheet, cash flow statement
Failure
Expected. Fix by iterating on ideas and pivoting away from ones that don´t work
ExpectionFix by firing executives
Speed
RapidOperates on good enough data
MeasuredOperates on complate data
Organization
Customer and agile development teams hire for learning, nimbleness, and speed
Departments by functionHire for experience and ability to execute
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eHealth specific aspects with the lean startup approach
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eHealth related aspects
• lots of regulation
• getting to product/market fit potentially expensive: even MVPs have usually to meet certain standards and often need approval from administrators & regulators
• important stakeholders can be hard to reach
• health providers can be conservative & reluctant to try new things, resulting in slow adoption
• often complex ecosystems & value chains
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Regulative aspects in eHealth
Within eHealth, there are requirements & directives for• Privacy, security, language support• SW development process• Quality management system• Risk management process• Clinical investigation• Validation• Registration• Placing on the market• Incident reporting• Suitability for the intended use• Performance and reliability
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When commercializing an eHealth innovation
if regulation concerns your product, think for ways to avoid regulation
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An example: Case Owletavoiding regulation in an eHealth startup
See video on the case: https://www.youtube.com/watch?v=rS6fHW9pRek