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Copyright © 2013 by LeveragePoint Innovations Inc.
No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means —
electronic, mechanical, photocopying, recording, or otherwise — without the permission of LeveragePoint Innovations Inc.
This document provides an outline of a presentation and is incomplete without the accompanying oral commentary and discussion.
COMPANY CONFIDENTIAL
Use Value-Based Design to Drive
New Product Success
Monthly Webinar Series – May 22, 2013
2
Sponsored by LeveragePoint
the Software Solution for Value-based Pricing
3
Today’s Presenter
Use Value-Based Design to Drive New Product Success
Dr. John Hogan is co-author of The Strategy and
Tactics of Pricing and is a recognized thought leader
and speaker on the topic of strategic pricing and
value-based marketing strategies.
As founder of Value Management Advisors, he works
with clients in a range of industries including
technology, healthcare, and manufacturing.
Previously, John was a Partner at Monitor Group, a
global management consulting firm, and managed
corporate pricing strategies for General Motors.
© John E. Hogan 2013
There is Room for Improvement in NPD Processes
5
A 2013 PDMA benchmarking study found that NPD processes are
successful less than 25% of the time.
0
20
40
60
80
100
% of new products that hit
revenue targets
Our development process is
data driven
2012
2010
76% “Failure”
Rate
© John E. Hogan 2013
Common Problems with New Product Launches
6
Lack of Value:
Process yields gold-plated products
with high performance that don’t
create enough value to justify the
price
Wrong Pricing:
Cost-plus pricing leaves money on the
table or underprices new product relative
to value
High Development Costs:
The development process, driven by
the wrong metrics, requires additional
development cycles
© John E. Hogan 2013
Three Leverage Points for Improving the NPD Process
7
Scoping
Gate
1
Business
Case
Gate
2
Develop. Gate
3
Testing &
Validation
Gate
4
Launch
The Stage-Gate Process
Data Analytics Metrics
Do we have the right
data for each stage
of the process?
Are we using the
right tools and
analytics?
Which KPI’s are
driving development
choices?
© John E. Hogan 2013
The Three Key NPD Metrics
Value
Potential Feature
Cost
Price
• Customer Value: establish the
revenue potential for a feature
• Price: determined by the ability
to capture a feature’s value
• Tangible vs. Intangible
• New vs. known technology
• Low vs. high risk
• Cost: ultimately determines the
profit potential for feature
8
© John E. Hogan 2013
The Choice of Metrics Drives the Development Decision
9
Selecting features based on value seems like a prudent choice...
The first three features
would be prioritized based
on value
© John E. Hogan 2013
Adding a Value-based Price Metric Leads to Different Choices
10
Adding a realistic price
metric uncovers missed
revenue potential
© John E. Hogan 2013
Design Choices Must Leverage Value, Price and Cost
11
The combination of metrics
reveals feature #3 as a good
development candidate
© John E. Hogan 2013
Value-based Design Case Study
12
Situation:
 Tech Co, a a global electronics
firm, was facing market
disruptions caused by new, less
expensive technologies
 Competition was eroding margins
and taking share from new
products
 The management team believed
that the future health of company
was at risk
Objective:
Improve new product profitability with a value-based development process
© John E. Hogan 2013
The New Approach was Tested on an Advanced Signal Generator
13
$2,100
$1,600
$4,500
$1,100
$2,850
$2,900
$3,100
$1,200
$ 8,200
Integrated
Package
$ 6,850
Faster
Processor
Advanced Signal
Processing
$ 4,300
The new features created
significant value
Less Auxiliary Equipment
Less Down Time
Value Drivers
Faster Set Up
© John E. Hogan 2013
Value Drivers Were Evaluated for Value Capture Potential
Less
Auxiliary
Equipment
Less
Down Time
Faster
Setup
Estimated
Value Capture Rationale
Clear savings
from lower
equipment costs
75%
Claim is credible,
but hard to verify
at purchase
50%
Not clear if
savings are fully
realizable
15%
There was much lower
ability to capture some
value for one value driver
14
© John E. Hogan 2013
The Revenue Analysis Created an Interesting Discussion
15
$315
$800
$3,375
$165
$1,425
$2,175
$465
$600
Less Auxiliary Equipment
Less Down Time
$ 4,490
Value Drivers
Integrated
Package
$ 3,765
Faster
Processor
Advanced Signal
Processing
$ 1,065 Faster Set Up
The analysis showed much
lower revenue potential for
software
© John E. Hogan 2013
% Price
Increase
B/E
Volume
Expected
Vol. Loss
Profit
Impact
10% - 17% < 7% $8.3 m
15% - 23% < 9% $12.5 m
20% - 25% < 15% $13.1 m
25% - 33% < 18% $15.2 m
30% - 38% < 25% $ 10.8 m
The value and revenue analysis gave the team the confidence to
take a substantial price increase on new product
The Analysis Led to an Aggressive Launch Price
16
© John E. Hogan 2013
Results
17
• The new analytics gave confidence and
focus to the product managers while
making the process more efficient
• The number of features rejected
increased across products – lowering
development costs
• Sales had a much clearer value story to
support launch pricing – increasing
close rates
• Average margins increased as a result
of better pricing and lower costs
© John E. Hogan 2013
Some Key Learnings
 Take a disciplined approach to
analyzing customer value
 Start early in the process and be clear
about your value-based metrics
 Invest time in educating all the
stakeholders – it takes 2-3 times
through the process for it to stick
18
© John E. Hogan 2013
Our Next Webinar
June 26, 2013 – NOON EDT
 Design to Value: How to Deliver Value-Based Innovations
 Bill Poston, Founder & Managing Partner
 Reed Shelger, CPP, Senior Consultant
 Registration Opens Next Week
20
Thanks for Watching!
sales@leveragepoint.com
www.leveragepoint.com
(617) 945-7075
John E. Hogan, PhD
jhogan@valuemanagementadvisors.com
www.ValueImperative.com

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Use Value-based Design to Drive New Product Success

  • 1. Copyright © 2013 by LeveragePoint Innovations Inc. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means — electronic, mechanical, photocopying, recording, or otherwise — without the permission of LeveragePoint Innovations Inc. This document provides an outline of a presentation and is incomplete without the accompanying oral commentary and discussion. COMPANY CONFIDENTIAL Use Value-Based Design to Drive New Product Success Monthly Webinar Series – May 22, 2013
  • 2. 2 Sponsored by LeveragePoint the Software Solution for Value-based Pricing
  • 3. 3 Today’s Presenter Use Value-Based Design to Drive New Product Success Dr. John Hogan is co-author of The Strategy and Tactics of Pricing and is a recognized thought leader and speaker on the topic of strategic pricing and value-based marketing strategies. As founder of Value Management Advisors, he works with clients in a range of industries including technology, healthcare, and manufacturing. Previously, John was a Partner at Monitor Group, a global management consulting firm, and managed corporate pricing strategies for General Motors.
  • 4. © John E. Hogan 2013 There is Room for Improvement in NPD Processes 5 A 2013 PDMA benchmarking study found that NPD processes are successful less than 25% of the time. 0 20 40 60 80 100 % of new products that hit revenue targets Our development process is data driven 2012 2010 76% “Failure” Rate
  • 5. © John E. Hogan 2013 Common Problems with New Product Launches 6 Lack of Value: Process yields gold-plated products with high performance that don’t create enough value to justify the price Wrong Pricing: Cost-plus pricing leaves money on the table or underprices new product relative to value High Development Costs: The development process, driven by the wrong metrics, requires additional development cycles
  • 6. © John E. Hogan 2013 Three Leverage Points for Improving the NPD Process 7 Scoping Gate 1 Business Case Gate 2 Develop. Gate 3 Testing & Validation Gate 4 Launch The Stage-Gate Process Data Analytics Metrics Do we have the right data for each stage of the process? Are we using the right tools and analytics? Which KPI’s are driving development choices?
  • 7. © John E. Hogan 2013 The Three Key NPD Metrics Value Potential Feature Cost Price • Customer Value: establish the revenue potential for a feature • Price: determined by the ability to capture a feature’s value • Tangible vs. Intangible • New vs. known technology • Low vs. high risk • Cost: ultimately determines the profit potential for feature 8
  • 8. © John E. Hogan 2013 The Choice of Metrics Drives the Development Decision 9 Selecting features based on value seems like a prudent choice... The first three features would be prioritized based on value
  • 9. © John E. Hogan 2013 Adding a Value-based Price Metric Leads to Different Choices 10 Adding a realistic price metric uncovers missed revenue potential
  • 10. © John E. Hogan 2013 Design Choices Must Leverage Value, Price and Cost 11 The combination of metrics reveals feature #3 as a good development candidate
  • 11. © John E. Hogan 2013 Value-based Design Case Study 12 Situation:  Tech Co, a a global electronics firm, was facing market disruptions caused by new, less expensive technologies  Competition was eroding margins and taking share from new products  The management team believed that the future health of company was at risk Objective: Improve new product profitability with a value-based development process
  • 12. © John E. Hogan 2013 The New Approach was Tested on an Advanced Signal Generator 13 $2,100 $1,600 $4,500 $1,100 $2,850 $2,900 $3,100 $1,200 $ 8,200 Integrated Package $ 6,850 Faster Processor Advanced Signal Processing $ 4,300 The new features created significant value Less Auxiliary Equipment Less Down Time Value Drivers Faster Set Up
  • 13. © John E. Hogan 2013 Value Drivers Were Evaluated for Value Capture Potential Less Auxiliary Equipment Less Down Time Faster Setup Estimated Value Capture Rationale Clear savings from lower equipment costs 75% Claim is credible, but hard to verify at purchase 50% Not clear if savings are fully realizable 15% There was much lower ability to capture some value for one value driver 14
  • 14. © John E. Hogan 2013 The Revenue Analysis Created an Interesting Discussion 15 $315 $800 $3,375 $165 $1,425 $2,175 $465 $600 Less Auxiliary Equipment Less Down Time $ 4,490 Value Drivers Integrated Package $ 3,765 Faster Processor Advanced Signal Processing $ 1,065 Faster Set Up The analysis showed much lower revenue potential for software
  • 15. © John E. Hogan 2013 % Price Increase B/E Volume Expected Vol. Loss Profit Impact 10% - 17% < 7% $8.3 m 15% - 23% < 9% $12.5 m 20% - 25% < 15% $13.1 m 25% - 33% < 18% $15.2 m 30% - 38% < 25% $ 10.8 m The value and revenue analysis gave the team the confidence to take a substantial price increase on new product The Analysis Led to an Aggressive Launch Price 16
  • 16. © John E. Hogan 2013 Results 17 • The new analytics gave confidence and focus to the product managers while making the process more efficient • The number of features rejected increased across products – lowering development costs • Sales had a much clearer value story to support launch pricing – increasing close rates • Average margins increased as a result of better pricing and lower costs
  • 17. © John E. Hogan 2013 Some Key Learnings  Take a disciplined approach to analyzing customer value  Start early in the process and be clear about your value-based metrics  Invest time in educating all the stakeholders – it takes 2-3 times through the process for it to stick 18
  • 18. © John E. Hogan 2013 Our Next Webinar June 26, 2013 – NOON EDT  Design to Value: How to Deliver Value-Based Innovations  Bill Poston, Founder & Managing Partner  Reed Shelger, CPP, Senior Consultant  Registration Opens Next Week
  • 19. 20 Thanks for Watching! sales@leveragepoint.com www.leveragepoint.com (617) 945-7075 John E. Hogan, PhD jhogan@valuemanagementadvisors.com www.ValueImperative.com