playbook training series: information theory in new product development

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PLAYBOOKHQ.co @PLAYBOOKHQ Information Theory PLAYBOOK LEAN PRODUCT DEVELOPMENT SERIES This work is licensed under a Creative Commons Attribution-NoDerivs 3.0 Unported License.

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Page 1: PLAYBOOK Training Series: Information Theory in New Product Development

PLAYBOOKHQ.co@PLAYBOOKHQ

Information TheoryPLAYBOOK LEAN PRODUCT DEVELOPMENT SERIES

This work is licensed under a Creative Commons Attribution-NoDerivs 3.0 Unported License.

Page 2: PLAYBOOK Training Series: Information Theory in New Product Development

PLAYBOOKHQ.co@PLAYBOOKHQ

PLAYBOOK LEAN PRODUCT DEVELOPMENT SERIES

This series is for anyone interested in Lean, Agile and team principles and how they can be applied in new product development scenarios to increase innovation, improve delivery times and create engaged,

happy, high-performing teams.

Page 3: PLAYBOOK Training Series: Information Theory in New Product Development

Notes:

1. The product of product development is _______________.

2. Knowledge = _______________ that is understood.

3. The goal of product development is _______________.

4. Therefore, the purpose of product development is to produce more _______________ information.

Page 4: PLAYBOOK Training Series: Information Theory in New Product Development

Notes:

1. Information is worth more when it’s known earlier

2. The cost of uncertainty rises exponentially over time.

3. Late changes cost more than early changes.

Economic effects of late changes:

a. Project expenses _______________

b. _______________ Cost of Delay (schedule)

4. Changes not made, because you don’t have time to make them, cost you, too .

Economic effects of not having the information in time to make the change:

a. _______________ Unit Cost

b. _______________ Sales Volumes or Average Sales Price

Page 5: PLAYBOOK Training Series: Information Theory in New Product Development

Notes:

1. Risk is “an _______________ event or condition that, if it occurs, has a positive or negative effect on a project’s objectives”.

2. The total uncertainty decreases over time as we learn more about our design.

3. Active risk management reduces the uncertainty more quickly.

4. Uncertainty means _______________ is needed.

5. Good Project Risk Management is the management of what information you need and when you need it to successfully achieve the project’s objectives.

Page 6: PLAYBOOK Training Series: Information Theory in New Product Development

Notes:

Page 7: PLAYBOOK Training Series: Information Theory in New Product Development

Notes:

Page 8: PLAYBOOK Training Series: Information Theory in New Product Development

Learn Faster by…

1. Clearly _______________ the question(s) you really need to answer.

2. Don’t do any more work than _______________ to get the answer (the rest is non-value added waste…).

3. Look for partial answers you can get very _______________.

4. Have a useful knowledgebase (knowledge capture system).

5. What would be the fastest way to learn about the following:

a. Size is not too big?

b. Hand piece is ergonomic and balanced?

c. User interface is simple and appealing?

d. Does the functionality meet the customer’s needs?

e. Where are the unknown bugs in our system?

Page 9: PLAYBOOK Training Series: Information Theory in New Product Development

Notes:

1. Design learning experiments to provide the most information by targeting a _______________ success rate.

2. Events that are less probable contain more _______________.

3. If the outcome was expected, you learn _______________.

4. You cannot maximize learning by maximizing the _______________ rate of an experiment.

Page 10: PLAYBOOK Training Series: Information Theory in New Product Development

Notes:

1. Example. You are developing a part that needs to be light and small and you don’t have much time. The production part is molded with an expensive material and takes 6 weeks to procure. You estimate the part will break under about a 300 lb. load, but probably somewhere between 200 lb. and 400 lb. Your specification is 200 lb. or greater. You estimate there’s a 10% chance of it breaking below 200 lb., but you won’t really know until you test it.

2. Which generates more information (i.e. what % of all possibilities do you eliminate)?

a. Test at 200 lb. & part does not break _______________.

b. Test at 300 lb. & part does not break _______________.

c. Test at 400 lb. & part breaks _______________.

d. Test at 200 lb. & part breaks _______________.

3. Learning eliminates uncertainty. Therefore, early learning = faster burndown of risk.The goal is to maximize the rate of information (i.e. uncertainty elimination rate).

4. How do you most quickly find out the part breaks at about 250 lb.? _______________.

a. How long does it take to get 100% of the information? ____________________.

b. How long does it take to get 10% of the information? _____________________.

c. Using a 50% success rate you get 10x the information in 3x the time.

Page 11: PLAYBOOK Training Series: Information Theory in New Product Development

Notes:

1. What’s the cost of the information?

a. 3hr * 100/hr (labor) + 3 parts * $200/part (materials) = $900

2. What’s the value of the information?

a. If it will break, but we don’t find out until later:

i. Cost of late information:

• If it breaks in Validation, how long does it take to fix and get new parts? ________________.

• 10% probability * 6 wks (30 day) delay = 3 days

• 3 days * $500,000/mo (Cost of Delay) ~ $68,000

PLUS

a. If it won’t break because its been overdesigned:

i. Cost of being heavier than necessary

• X% less sales * Sales Sensitivity

PLUS

i. Cost of higher than necessary COGs

• $Y more COGs * COGs Sensitivity

3. What’s the ROI?

a. $68,000+/$900 = 7600+%

Page 12: PLAYBOOK Training Series: Information Theory in New Product Development

Notes:

1. The _______________ you learn something, the more it _______________ to incorporate that knowledge (i.e. information is more valuable earlier).

2. The Total Cost Curve (U-shaped) applies to _______________ batches.

3. Cost of Delay rises with _______________ size.

4. We try to save a little _______________ on testing by batching things, but we lose _______________ than we save from the delay that the batch causes.

Page 13: PLAYBOOK Training Series: Information Theory in New Product Development

Notes:

1. When you are testing and finding problems, you are building a queue of work (i.e. problems to solve).

Page 14: PLAYBOOK Training Series: Information Theory in New Product Development

Notes:

1. Small-batch testing helps keep the Work Queues _______________ .

2. By keeping the Work Queues small….

a. You fix bugs while you _______________ the code.

b. You have less tendency to _______________ .

c. You have more _______________ to adapt to larger problems.

3. Large-batch testing _______________ learning which decrease profit.

4. Quality is increased because we learn from each iteration and the next iteration’s quality is based on the previous iteration, therefore the Average Error Population is lower.

5. Try it, fix it is generally faster and results in higher quality (i.e. more profitable) than Get it right the first time.

Page 15: PLAYBOOK Training Series: Information Theory in New Product Development

Overview

1. The goal of this game is to reinforce your understanding of a learning fast strategy.

2. There are two ways to learn :

a. Design & Test

Try to get it 100% right, determine what isn’t right as best you can, repeat as necessary.

• This process is usually slow.

• In the game this process takes 1 month for each iteration.

b. Mockup & Test

Eliminate some uncertainty very quickly, repeat as necessary.

• This process is fast, but doesn’t get you all the way to the end. At some point you need to switch over to the Design & Test type learning method.

• In the game this process takes 1 week for each iteration.

How to Play

1. I write down a number 00-99 (100 numbers) and you try to determine what it is.

2. We’ll play three different games each with its own set of rules.

3. Be prepared to compare and contrast each game.

Page 16: PLAYBOOK Training Series: Information Theory in New Product Development
Page 17: PLAYBOOK Training Series: Information Theory in New Product Development

Notes:

1. How long did it take to get the right answer, where right means 100% of the information you need (i.e. 100% of the uncertainty eliminated)?

2. What was the average information generation rate?

Page 18: PLAYBOOK Training Series: Information Theory in New Product Development

Notes:

1. How long did it take to get the right answer, where right means 100% of the information you need and 100% of the uncertainty eliminated?

2. What was the average information generation rate?

3. Was it intuitive that you would get the answer faster this way vs. Design & Test learning?

4. If so, why?

Page 19: PLAYBOOK Training Series: Information Theory in New Product Development

Notes:

1. How long did it take to get the right answer, where right means 100% of the information you need (i.e. 100% of the uncertainty eliminated)?

2. What was the average information generation rate?

3. Was it intuitive that you would get the answer faster this way rather than Design & Test type learning?

4. If so, why?

5. How does the information batch size differ from Game 1?

6. What are some examples where mockups give a little information vs. a lot of information?

Page 20: PLAYBOOK Training Series: Information Theory in New Product Development

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Group Discussion

• Share an example of an experience you had when you received information ‘too’ late (e.g. from a test, another person, a vendor…)

• What was the impact (in economic terms)?

• What could have been done that would have prevented that from happening?

Page 21: PLAYBOOK Training Series: Information Theory in New Product Development

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Key Takeaways

• Information differs in value– Value depends on its economic impact– Early learning is more profitable than late learning– Unexpected outcomes (failures) are not the enemy

• Plan higher risk learning first– Bigger Risks contains more profitable information– Decreases the total uncertainty more quickly

• Test (learn) using small batch sizes– Information arrives earlier– Creates smaller arrival rate of information– Increases quality

Page 22: PLAYBOOK Training Series: Information Theory in New Product Development

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PLAYBOOKHQ.co@PLAYBOOKHQ

THANK YOU!