The Corporate Scientist(experimental design)

key for experimental design

Everything we do can be viewed as: if activity X is performed, then result

Y is expected

key for experimental design

Everything we do can be viewed as: if activity X is performed, then result

Y is expected

key for experimental design

Defining a causal relationship between two phenomenons is

the key to the scientific approach

experimental design 101

experimental design 101

What you expect to get

experimental design 101

What you expect to get

What the

actual result is

experimental design 101

What you expect to get

What the

actual result is

experimental design 101

What you expect to get

What the

actual result is

What you learn

steps to experimental design

get your A0 experiment board http://bit.danto.ma/expboard

steps to experimental design

Define what you want to test and the implication for your business model.

get your A0 experiment board http://bit.danto.ma/expboard

steps to experimental design

Define what you want to test and the implication for your business model.

Specify the group the experiment is designed for

get your A0 experiment board http://bit.danto.ma/expboard

steps to experimental design

Define what you want to test and the implication for your business model.

Specify the group the experiment is designed for

Design and run the experiment using the minimum set of features

get your A0 experiment board http://bit.danto.ma/expboard

steps to experimental design

Define what you want to test and the implication for your business model.

Specify the group the experiment is designed for

Design and run the experiment using the minimum set of features

Outline the failure criteria

get your A0 experiment board http://bit.danto.ma/expboard

steps to experimental design

Define what you want to test and the implication for your business model.

Specify the group the experiment is designed for

Design and run the experiment using the minimum set of features

Outline the failure criteria

Time box your experiment

get your A0 experiment board http://bit.danto.ma/expboard

steps to experimental design

Define what you want to test and the implication for your business model.

Specify the group the experiment is designed for

Design and run the experiment using the minimum set of features

Outline the failure criteria

Time box your experiment

Collect, aggregate and interpret the actual data

get your A0 experiment board http://bit.danto.ma/expboard

steps to experimental design

Define what you want to test and the implication for your business model.

Specify the group the experiment is designed for

Design and run the experiment using the minimum set of features

Outline the failure criteria

Time box your experiment

Collect, aggregate and interpret the actual data

Take a decision based on the results

get your A0 experiment board http://bit.danto.ma/expboard

don’t need to test everything

Reference: J. Mullins & R. Komisar

don’t need to test everything

Analog: successful predecessor companies that are worth mimicking in some way.

Reference: J. Mullins & R. Komisar

don’t need to test everything

Reference: J. Mullins & R. Komisar

don’t need to test everything

Antilog: predecessor companies compared to which you explicitly choose to do things differently.

Reference: J. Mullins & R. Komisar

don’t need to test everything

Reference: J. Mullins & R. Komisar

don’t need to test everything

Leap of faith: what you have no idea about.

Reference: J. Mullins & R. Komisar

characteristics of a good experiment

Reference: C.M. Christensen & K.Popper

characteristics of a good experiment

1. Reveals causal relationship between phenomenons.

Reference: C.M. Christensen & K.Popper

characteristics of a good experiment

1. Reveals causal relationship between phenomenons.

2, It’s fast enough so there’s still time for further iterations.

Reference: C.M. Christensen & K.Popper

characteristics of a good experiment

1. Reveals causal relationship between phenomenons.

2, It’s fast enough so there’s still time for further iterations.

3. It’s cheap enough so there are still money left for the next shot.

Reference: C.M. Christensen & K.Popper

characteristics of a good experiment

1. Reveals causal relationship between phenomenons.

2, It’s fast enough so there’s still time for further iterations.

3. It’s cheap enough so there are still money left for the next shot.

4. Didn’t cause irremediable damage to the vital assents of the business.

Reference: C.M. Christensen & K.Popper

characteristics of a good experiment

1. Reveals causal relationship between phenomenons.

2, It’s fast enough so there’s still time for further iterations.

3. It’s cheap enough so there are still money left for the next shot.

4. Didn’t cause irremediable damage to the vital assents of the business.

Reference: C.M. Christensen & K.Popper

5. Is falsifiable, since no number of positive outcomes can confirm a scientific theory, but a single counterexample is logically decisive: it shows the theory, to be false.

some times you win, some times you loose learn

some times you win, some times you loose learn

More important than managing the rate of failure is managing the cost of failure.

some times you win, some times you loose learn

According to Thomas A. Edison, you don’t fail, you just find ways

in which it doesn’t work.

More important than managing the rate of failure is managing the cost of failure.

www.thecorporatestartupbook.com

@toma_danwww.danto.ma

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