10 Insights on Lean Thinking, from Pivotal Labs' Janice Fraser

Post on 04-Jul-2015

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Download the audio, read insights and more: http://33voic.es/infvrfp Janice Fraser is an entrepreneur, designer, and advisor to early stage companies. She has raised capital, founded both successful and failed startups, and consulted to large enterprises & tiny startups. Janice has been a guest lecturer at universities like Haas, Stanford, and Kellogg. Prior to starting LUXr, Janice was a founding partner of Adaptive Path and served as the company's first CEO.

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10 Insights on Lean Thinking

This presentation consists of highlights from the interview with Moe Abdou,

founder & host of 33voices®.

Janice Fraser is an entrepreneur, designer, and advisor to early stage companies. She has raised capital, founded both successful and failed startups, and consulted to large enterprises & tiny startups.

Janice has been a guest lecturer at universities like Haas, Stanford, and Kellogg. Prior to starting LUXr, Janice was a founding partner of

Adaptive Path and served as the company’s first CEO.

Janice Fraser@clevergirl

Fomenter at Pivotal Labs

You’ll make a big splash for your startup by raising VC and gaining press - but, you’ll increase your odds of success when you

identify your biggest risks and design small experiments to validate them.

Insight #1

Insight #2

A lean practitioner approaches an experiment with a beginner’s mind - for she knows that she’ll be wrong more often than she’s right.

Insight #3

You’ll recognize a good working hypothesis when:

Insight #3

You’ll recognize a good working hypothesis when:

It’s very specific

Insight #3

You’ll recognize a good working hypothesis when:

It’s appropriately scoped

Insight #3

You’ll recognize a good working hypothesis when:

It encapsulates the risk that you’re trying to measure

Insight #3

You’ll recognize a good working hypothesis when:

It’s measured by a clear yes/no vote

Insight #4

Designing an experiment is part art and part science. The best ones unpack both

the customer development & product solution:

Insight #4

Designing an experiment is part art and part science. The best ones unpack both

the customer development & product solution:

Start with the most important variable you need to know

Insight #4

Designing an experiment is part art and part science. The best ones unpack both

the customer development & product solution:

Measure its value to the consumer

Insight #4

Designing an experiment is part art and part science. The best ones unpack both

the customer development & product solution:

Determine its business value to your company

Insight #5

There are only two mistakes one can make along the lean startup pathway, not going all

the way, and not starting. Go farther by working on something interesting and hard.

Insight #6

The meta-pattern inside lean thinking is a continual prompt for ideas and a filter

for fast decision making.

Insight #7

If you aspire to disrupt an industry, start by identifying the

hallmarks of the dominant player, and:

Insight #7

If you aspire to disrupt an industry, start by identifying the

hallmarks of the dominant player, and:

Constrain against what they’re doing

Insight #7

If you aspire to disrupt an industry, start by identifying the

hallmarks of the dominant player, and:

Provoke by asking the right questions

Insight #7

If you aspire to disrupt an industry, start by identifying the

hallmarks of the dominant player, and:

Attempt an experiment

Insight #7

If you aspire to disrupt an industry, start by identifying the

hallmarks of the dominant player, and:

watch how people interact

Insight #8

A smart entrepreneur is always looking for evidence. she tells her story, listens to how it’s being received, and identifies the right

advocates to forge partnerships.

Insight #9

“Sometimes if you have financial restraints, it’s a benefit. It forces you to come up

with a more creative way.”

- Robert De Niro on lean

Insight #10

It’s the startup that measures its success by the capability and muscle of her team

that’s most likely to control its destiny.

When do you know that you have a good working hypothesis?

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