Lean Experiments @ Startup Institute

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K N O W N U N K N O W N S STARTUP INSTITUTE APRIL 5, 2015 INTRO TO LEAN AND STARTUP EXPERIMENTS

Transcript of Lean Experiments @ Startup Institute

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K N O W NU N K N O W N S

STARTUP INSTITUTEAPRIL 5, 2015

INTRO TO LEANAND STARTUP EXPERIMENTS

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AGENDA● Setting the stage (frameworks, definition, jargon)● Early-stage customer development (interviews!!!)● Role of prototypes & pilots● Finding product-market fit through experiments● Unpacking hypotheses and assumptions● Integrating experimentation into team/company building● If time…

○ packaging validation, fundraising, growth● Q&A

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BACKGROUND

● Successes & failures w/ 5 startups, 2 of my own● Spent the last 3-4 years obsessed with product● Particular focus:

○ Early-stage validation○ Experiment & systems design○ Acquisition, retention, growth

● Community Manager at startup incubator○ Internal metrics and feedback loops

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WHY IS NOW DIFFERENT?Pre-2000s vs. Post-2010s

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LANDSCAPE

● Barrier to entry for “building” is at all-time low

● Getting traction / to-market is WAY CHEAPER at earliest stages

● Multiple platforms (some free) that reach BILLIONS of USERS

● We’ve learned a lot from our mistakes and failures

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SETTING THE STAGE:FRAMEWORKS / DEFINITIONS / JARGON

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JARGON

METHODOLOGIES

● Lean Startup● Design Thinking● Agile Development

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JARGON / BUZZWORDS

● Growth hacking● Pivoting● MVP’s

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Hypothesis – falsifiable supposition made on the basis of limited information, as a starting point for further investigation

vs.

Assumption – something believed to be true, without proof

DEFINITIONS

Experiment – controlled procedure carried out to test hypotheses

vs.

Planning – a detailed proposal for achieving something

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ULTIMATELY...

We want to practice disciplined entrepreneurship. That means setting intention to our vision, fleshing out

underlying assumptions, tracking our activities effectively, and making the smart business-related decision.

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EXPLORE → REFINE

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THE LEARNING LOOP

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EARLY-STAGE CUST. DEV+++ INTERVIEWS +++

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Multiple factors go into opportunity analysis

● Market assessment (size, $$$, competitive landscape)

○ This problem demonstrates large potential as a market.

○ This problem and market will continue to grow.

● Product X Execution X Team X Luck X ...

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FOCUS ON THE ACTIONABLE

● There are real customers that will pay me to solve their problem.

● This problem demonstrates large potential as a market.

● This problem and market will continue to grow.

aka TALK TO REAL HUMANS

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INTERVIEW TIPS● Embrace bad news (don’t “want to hear things...listen!)

● Encourage candor through dialogue and body language

○ Pay attention to theirs as well

● Ask OPEN-ENDED question about BEHAVIOR from their PAST

● Take rigorous notes

● Thank them and follow up (startup karma)

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INTERVIEW DON’Ts

● No Leading Questions

● No “would you” or future-related questions

● No product pitches or explanations

● NO SELLING!!!

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WHAT ARE YOU LEARNING??

● WHAT problem(s) exist? … WHO has them? … WHY?

● Problem vs. Customer (anchor variable)*

● Gaining customer understanding

○ Facts, pains, goals, behaviors

○ Current problem/solution

● Data → formation of next experiment

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ROLE OF PROTOTYPESAND PILOTS

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TEST → Product, Customer, Channel

● Those who fail will do so more quickly and cheaply

● Those who are on to something, pivot with time to strike

● Those with traction (measured rigorously) can leverage it BIG

● You bleed a little bit...

○ Major product changes

○ Major customer/market learnings

○ Execution losses

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FINDING PRODUCT-MARKET FITTHROUGH EXPERIMENTS

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Product-Market fit

● You DEFINITELY are solving a meaningful problem for customers

○ and you UNDERSTAND who those customers are

● You start hearing the same things over and over again

● You actually feel “refinement” (product, execution, growth)

● Helps 100x if you’ve been disciplined

○ You have a barometer to measure against

○ Package that validation + hit the market with force

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HYPOTHESIS + ASSUMPTIONSwhat that means

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Hypothesis Formation

I believe (__specific action__) will result

in (__measurable outcome__)

by (__set date__)

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Identifying Assumptions

● Implicit → Explicit

● WHY???

○ Assumption #1

○ Assumption #2

● Prioritize by risk

● Design the optimal experiment

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EXPERIMENTATION SYSTEMSteam + company building

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Creating your Experiments Gameplan

WHAT YOU’LL NEED

● Team Buy-In

● Shared vocabulary

● Structure

● Consistency

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Experiments Need a Home

● Create an “Experiments” Folder

● Store and prioritize backlog of ideas/hypotheses

● Track current experiments

● Tie to core activities

○ Dev sprints // product roadmap // KPI’s

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Experiments → Business Activities

● Create sprints that work for your teams

○ Daily vs. weekly?

○ Aligned with dev. sprints?

● Share learnings, challenges, feedback

● Hold each other accountable

● Reward validation with action

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PACKAGING VALIDATIONtalent, fundraising, growth

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WHAT IS REAL and WHAT IS NOT

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Recommended Reads

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Contact

twitter → @jacksonlindauer

email → [email protected]

help → sohelpful.me/jacksonlindauer