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Minimum Viable Product (MVP) Minimum Viable Product (MVP)

Minimum Viable Product (MVP) - PowerPoint Presentation

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Minimum Viable Product (MVP) - PPT Presentation

Lean Startup Machine DC Shardul Mehta May 31 2014 Hi Im Shardul VP Product Management and Product Marketing 1 shardulmehta httpwwwlinkedincominshardulmehta httpstreetsmartproductmanagercom ID: 309094

product mvp shardulmehta solution mvp product solution shardulmehta insights http learnings problems version important customers amp concierge care learning validated customer forms

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Slide1

Minimum Viable Product (MVP)Lean Startup Machine DC

Shardul Mehta

May 31, 2014Slide2

Hi. I’m Shardul.

VP Product Management and Product Marketing

1

@shardulmehta

http://www.linkedin.com/in/shardulmehta

http://streetsmartproductmanager.com

shardulmehta@gmail.com Slide3

What’s an MVP?

2Slide4

Not a buzzword

3

Lazy thinking

You don’t sound cool

It doesn’t make you “lean”Slide5

What is not an MVPVersion 1.0

Beta

First market launch”

Soft launch

“First customer ship”Smallest collection of features you can deliver

A half-baked product

A buggy productA landing page

Smoke testMockup

Prototype

4Slide6

Not about product delivery

5

Say

wha

…?

But it is about delivering productSlide7

It’s about validated learning

6

So customers’ problems are squarely at the center, not our solutionSlide8

Reality check

Customers don’t care about your solution.

They care about solving their

problems

.

7Slide9

Fundamental truth

Your solution, while interesting, is

irrelevant

.

8Slide10

Whoa… mind bender?

9Slide11

Not reallyThink problems

Not solutions

Think learning

Test your assumptions

Think hypotheses

Be deliberate about learning

10Slide12

So what is

an MVP?

11Slide13

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 Ries

12Slide14

MVP, despite its name, is not about creating minimal products

… In fact, MVP is quite annoying, because it imposes extra overhead.

We have to manage to learn something from our first product iteration.

In a lot of cases, this requires a lot of energy invested in talking to customers or metrics or analytics.

The definition’s use of the words maximum and minimum means it is

decidedly not formulaic

. It

requires judgment

to figure out, for any given context, what MVP makes sense.

- Eric Ries

13Slide15

MVP breakdown14

P

roduct

Useful

Deliver real value

Tangible

Landing page

Smoke test

Mockup, prototype

V

iable

Solve real world problems

What will customers “pay” for?

Half-baked, buggy

Smallest collection of features

Don’t ship s**

t

!

M

inimum

The absolute necessary features needed day 1 to solve customers’ top problems

Version 1.0

“Beta”

First market launchSlide16

Key conceptsMaximum amount of validated learning

Be systematic about identifying riskiest assumptions

Formulate testable falsifiable hypotheses

Use MVP to prove or disprove your hypotheses

15Slide17

Concierge MVP“Manual”

version of your ultimate solution

Short-term solution to gain critical insights on

your customers

They’re

needs  what do they actually care about?

They’re actual behaviors

 what will they actually pay for?

Short-term solution to gain critical insights on your solutionMost important elements your solution will need (

features)Most important benefits your solution provides (

value proposition)In terms of importance to the customer (not you)

16Slide18

Online Payment Forms17

Concierge MVP

Manually-coded HTML forms to take

payments

Almost 100 built!

Most common types of payment forms desired

What’s

most important to them in a form

Frequency

of changes

Reporting

Potential early adopters!

Learnings

MVP

Code put through rigorous UAT

Sales preparedness

Learnings

Buyer vs. User personas

Sales model

Pricing

Value prop & competitive positioning

Generate revenue

$0.5 million payments

Target customer segment

Messaging, positioning

Usage

New problems/opportunities to validate

Timeframe: 4 monthsSlide19

Reconciliation18

Concierge MVP

E-guides

Excel macros

Remote & in-person training

Deep insights into problems

Deep insights into current workflows

Deep insights into data

Learnings

Demo

Specific hypotheses

Data validation via prototype

Customer interviews with mockup

Learnings

Types of users

UX design

Data algorithm

Early clients

MVP

Specific hypotheses

Validation from early clients

Test other aspects of the product strategy

Roadmap for GA

productSlide20

Q&A

19

@shardulmehta

http://www.linkedin.com/in/shardulmehta

http://streetsmartproductmanager.com

shardulmehta@gmail.com Slide21

Important Stuff!20

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