I want my MVP
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UX in the City - 20th April 2017
PILOT WORKS
I want my MVP UX in the City - 20th April 2017 PILOT WORKS 1 - - PowerPoint PPT Presentation
I want my MVP UX in the City - 20th April 2017 PILOT WORKS 1 Hello, I am Alastair from PILOT WORKS 2 PILOT WORKS alastair@pilot.works What shall we build? 3 PILOT WORKS alastair@pilot.works PILOT WORKS alastair@pilot.works My
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UX in the City - 20th April 2017
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Hello, I am Alastair from
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If I show you the following statement then, on my count of three, 90% of you will stand up and shout ‘Hell yeah!’ because you agree (and it’s a bit of fun)
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I’m interested in ways to minimise time wasted making things that don’t create value or help my team learn!
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Design Thinking
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Someone’ s idea
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Other ways? Someone’ s idea
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Someone’ s idea
Other ways?
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Nobody cared
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There is surely nothing quite so useless as doing with great efficiency what should not be done at all.
Peter F. Drucker
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The minimum viable product is that version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort. Eric Reis D
s n ’ t n e e d t
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u c t
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Minimum viable product is the smallest possible product that is valuable, usable and feasible Marty Cagan Release #1
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To: Discovery team From: Dave - Head of Digital at Asis Subject: Pershop Dear team, As you know, we’re an online fashion and lifestyle retailer aimed at trendy 20 somethings. We want to launch a ‘personal shopper’ service on our site that uses bots and algorithms to recommend products through live chat-style ‘conversations’ with users. Kind
conversion by 5%! Please do some discovery so we can scope it and get started. Thanks! Dave
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Can we build it? Should we build it?
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Landing page or smoke test
Step 1: Identify ‘leap of faith’ assumptions
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Time Out iPad app assumptions
People need things to do in London People will want to browse things to do on an iPad People need help finding things to do they’ll like People will choose to download the app People will make purchases through the app People will use the app repeatedly
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In pairs Review the idea List 5 assumptions on your sheet Choose the riskiest 3 mins Exercise 1: Assumptions
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Some assumptions I made earlier
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Step 2: Test riskiest assumptions using an MVP
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Sell it first Slice Types of MVP Prototype Manual
Want it?
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MVP type 1: Sell it first Landing page
Crowd funding
Video demo
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Fake door
Reports
Thanks for your suggestion We now offer <Customers per day> reports. Dear user Make a report …some time later
Sell it first MVP
Reports aren’t quite ready, what were you hoping to do? Customers per day What kind of report?
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Market/Need assumptions Idea assumptions Execution assumptions Effort
Sell it first MVP Test appetite for the proposition, before you spend time on design
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Sell it first Slice Types of MVP Prototype Manual
Want it?
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Prototype MVP
Paper Lo-fi Hi-fi
✓flow and IA ✗ realistic reactions ✓collaborative ✗ iteration/sharing ✓realistic reactions ✗ too good?
Faster Slower
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Idea assumptions Execution assumptions
Prototype MVP Fake the experience and get feedback from users
Effort Market/Need assumptions
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Sell it first Slice Types of MVP Prototype Manual
Want it?
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Concierge Manual MVP
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Wizard of oz Flint-stoning Manual MVP
a.k.a
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Flintstoning Manual MVP
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Idea assumptions Execution assumptions
Manual MVP Deliver the product or service by hand before investing in software
Effort Market/Need assumptions
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Sell it first Slice Types of MVP Prototype Manual
Want it?
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Minimum viable product is the smallest possible product that is valuable, usable and feasible Marty Cagan A.K.A release #1
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Feasible Valuable Usable Delightful Usable Delightful
Via Jussi Pasanen, @jopas
Not this slice This slice
Slice MVP
Feasible Valuable
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http://blog.crisp.se/2016/01/25/henrikkniberg/making-sense-of-mvp
If you’re lucky
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http://blog.crisp.se/2016/01/25/henrikkniberg/making-sense-of-mvp
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Slice by
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Slice by
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Slice by
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Slice by
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Remove anything that does not
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Market assumptions Idea assumptions Execution assumptions Effort
Slice MVP Create the smallest possible solution that’s valuable, usable and feasible
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Sell it first Slice Types of MVP Prototype Manual
Want it?
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Designing your test
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If I show you the following statement then, on my count of three, 90% of you will stand up and shout ‘Hell yeah!’ because you agree (and it’s a bit of fun)
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Creating a hypothesis statement:
If we send traffic from the homepage to iPad app landing page with a button to download the app then 10 percent of users will click the button because they see value in the app proposition
Sell It First MVP
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Creating a hypothesis statement: Prototype
If we show our prototype to 6 urban mums who work
then at least 4 will ask when they can use it for real because they see themselves using it
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Eric Ries’ 3 As of metrics Actionable Accessible Audit-able Clear cause and effect, timely Easily available to team Recorded, verifiable
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riskiest assumption
the sheet
back of the sheet. 15 mins Exercise 2: MVP tests
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How was that?
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Recap
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@tsharon @ericries @jboogie @cagan Further reading
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@docket alastair@pilot.works
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Appendix
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Experiment number: 1 Type: Fake Door Assumption tested: They will try the Pershop service Hypothesis If we create a pop up message advertising our Pershop service asking for an email address to be invited, then 10% of who see it will give a valid email address because they want to try the Pershop service. Metrics Conversion rate on pop up
Example “Asis - Pershop”
Background Assumptions
Successful online fashion and lifestyle retailer aimed at trendy 20 somethings wants to launch a ‘personal shopper’ service on their site that uses bots and algorithms to recommend products based on live chat style ‘conversations’ with users. They expect Pershop to increase overall conversion by 0.5%. MVP Experiment
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Experiment number: 2 Type: Wizard of oz Assumption tested: 3 and 4 Hypothesis If we deliver the service using live chat to 100 people with a human stylist making suggestions, make a recommendation then 5% will buy the item on the same visit. Metrics Percentage of users who reach suggestion Percentage of users who click through to product page Percentage of users who purchase product
Example “Asis - Pershop”
Background Assumptions
Successful online fashion and lifestyle retailer aimed at trendy 20 somethings wants to launch a ‘personal shopper’ service on their site that uses bots and algorithms to recommend products based on live chat style ‘conversations’ with users. They expect Pershop to increase overall conversion by 0.5%. MVP Experiment