Marketing of High-Technology Products and Innovations Jakki J. Mohr

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Marketing of High-Technology

Products and Innovations

Chapter 5:

Marketing Research In

High-Tech Markets

Chapter Outline

Aligning Market Research with Innovation Type

High-Tech Marketing Research Tools

Concept Testing

Conjoint Analysis

Customer Visit Programs

Lead Users

Empathic Design

Quality Function Deployment

Prototypes and Beta Testing

Gathering Competitive Intelligence

Forecasting Demand

Delphi method

Analogous Products

Information Acceleration

© Mohr, Sengupta, Slater 2005

Customer Input During

Product Development at Microsoft

Activity Based Planning Wish Lines

Analysis and User Needs Definition

Specification Development

Product Prototyping

Calls Data

Usability Lab Testing

Additional Product Development

Internal Alpha Release

Feedback Analysis and Product Refinements

Beta Site Testing

Feedback Analysis & Product Refinements

External Product Release

Surveys

© Mohr, Sengupta, Slater 2005

Studies

Aligning Market Research with Type of Innovation

Survey Research

Concept Testing

Conjoint Studies

Incremental

Innovation

(need known)

Market Intuition

Customer Visits

Empathic Design

Lead Users

Quality Function Deployment

Prototype Testing

Breakthrough Innovation

(technical solution precedes customer need)

© Mohr, Sengupta, Slater 2005

Concept Testing

Generate multiple product concepts

Observation

Focus groups

Brainstorming

Judgmentally reduce number of concepts

Describe their key attributes and benefits in paragraph form

Potential customers as rate each concept on dimensions such trial interest and perceived value

Further reduce number of concepts based on results from previous stage

Representative sample of potential customers complete a battery of questions and diagnostic ratings on each finalist

© Mohr, Sengupta, Slater 2005

Conjoint Analysis

To determine how respondents value various attributes , and levels of attributes, in the product

If we learn how buyers value the components of a product, we are in a better position to design those that improve profitability

© Mohr, Sengupta, Slater 2005

The Conjoint Task

If you were in the market to buy a new PC today and these were your only options, which would you choose?

IBM Dell Compaq

2.4 GHz

Processor

3.2 GHz

Processor

2.8 GHz

Processor

512

Meg

RAM

21-Inch

Monitor

$1,200

256

Meg

RAM

21-Inch

Monitor

$2,000

256

Meg

RAM

17-Inch

Monitor

$1,550

None: I

Wouldn't

Choose

Any of

These

© Mohr, Sengupta, Slater 2005

Customer Visit Programs

Use cross-functional teams

Engineering, marketing, sales account manager

Supportive corporate culture

Visit different kinds of customers:

Competitor’s customers, lost customers, lead users, channel intermediaries, internal personnel

Customer councils

© Mohr, Sengupta, Slater 2005

Customer Visits (Cont.)

Go to the customer’s site and get out of the conference room

(versus bringing them on-premise for a “dog and pony” show)

Ask probing questions

Ensure customer visits are programmatic/ systematic for a deep reviewing of all profiles of product

(not ad hoc)

© Mohr, Sengupta, Slater 2005

Empathic Design

Because users may be needs, this technique focuses on customer behavior and unable to articulate workarounds their observations of to develop a deep understanding the user’s environment.

Types of insights

(unexpected success and failure)

Triggers of Use (what? why? )

Coping strategies with unarticulated user needs (how?)

New usage situations (what’s new?)

Customization (when, where, who?)

Intangible Attributes

© Mohr, Sengupta, Slater 2005

5 Steps in Empathic Design

1. Observation

Who should be observed?

Who should do the observing?

What behavior should be observed?

2. Capture the Data

Less focus on words/text; more on visual, auditory, and other sensory cues

Via photos, etc.

© Mohr, Sengupta, Slater 2005

5 Steps in Empathic Design

(Cont.)

3. Reflection and Analysis

Identify all customers’ possible problems and solutions

4. Brainstorm for Solutions

Transform observations into ideas

5. Develop prototypes of solutions

Tangible representation or role play/simulation of ideas

© Mohr, Sengupta, Slater 2005

Use of Empathic Design At Intel

Success rate based on engineers’ ideas: only 20%

Example: video-phone

Team of 8 design ethnographers to find how technology can help solve user problems

Salmon industry in the Alaska (video monitoring)

Business owners (handwriting recognition)

Teenagers (exchanging pictures with others)

The lesson: What a user does with a product is more important than what the product can do.

© Mohr, Sengupta, Slater 2005

Lead Users

Some customers face needs before a majority of the market place;

Their needs may be more extreme than typical customers

Ex: auto racers and military’s combat fighters need for better brakes

They stand to benefit substantially by obtaining solutions to their needs sooner rather than later

They struggle with the inadequacies of existing products tend to innovate their own solutions to their needs (see Table 5-1)

© Mohr, Sengupta, Slater 2005

Lead Users

"LEAD USERS" of later commercialized modifications and enhancements

Time

"LEAD USERS" of novel products

Some Users Begin To

Experience/ Respond To Need

First Responsive Commercial

Product Introduced

Market

Growth

© Mohr, Sengupta, Slater 2005

Lead Users in Market Research

The lead user process can create breakthrough products by systematically identifying lead users and learning from them.

© Mohr, Sengupta, Slater 2005

Steps in Lead User Research

1. Identify important trend

Via standard environmental scanning

3M identified trend of detecting small features via medical imaging, which required higher-quality, and high-resolution images

© Mohr, Sengupta, Slater 2005

Steps in Lead User Research

2. Identify and question lead users

Personal contacts with customers, surveys, networking with experts, empathic design

Respect possible sensitivity of information

Ex:

3M identified radiologists working on most challenging medical problems, who had developed imaging innovations to meet their needs

Networking to other fields in pattern recognition (the military) and semiconductors

© Mohr, Sengupta, Slater 2005

Steps in Lead User Research

3. Develop the breakthrough product(s)

Host a workshop for experts and lead users to brainstorm

Ex: medical imaging, experts in high-resolution imaging, and pattern recognition developed ideas

4. Assess how well lead user data and experiences apply to more typical users

Gather market research from typical users

The possibility of extrapolation

© Mohr, Sengupta, Slater 2005

Benefits of the Lead User Process

New insights from gathering and using information in new ways

Cross-functional in nature

Identifying and capturing the innovation sources earlier than competitors

(appropriability)

Collaboration with innovative customers

Requires corporate support, skilled teams, time.

© Mohr, Sengupta, Slater 2005

Example of Lead User Process:

3M Corporation and Infection Control

1. Identify important trends in infection control

Travel to extreme situation: surgical environments in developing countries

2. Identify lead users

Veterinary hospitals, make-up artists in

Hollywood

(a surprising findings: substantial benefit to Vet and artist)

© Mohr, Sengupta, Slater 2005

Example of Lead User Process:

3M Corporation and Infection Control

Develop the breakthrough ideas at a workshop with experts and lead users

Economy line of surgical drapes, hand-held devices to apply anti-microbial substances to skin, “ armor ” line to coat catheters and tubes with anti-microbial protection, and upstream containment of infection prior to surgery for high-risk patients.

© Mohr, Sengupta, Slater 2005

Quality Function Deployment

What: A tool that provides a bridge between the voice of the customer and product design

Purpose: Ensure tight correlation between customer needs and product

specifications.

Requirement: Close/intensive collaboration between marketing, engineers, and customers

© Mohr, Sengupta, Slater 2005

QFD can:

Reduce product development time by 50%

Cut start-up and engineering costs by 30%

Reduce time-to-market

Reduce number of design changes

Reduce rework

Lower facility’s maintenance and operation costs

Improve quality (meeting the requirements)

Increase customer satisfaction

© Mohr, Sengupta, Slater 2005

QFD Process

Collect the “voice of the customer”

Identify customer needs regarding desired product benefits via customer visits or empathic design

Weight or prioritize desired benefits/attributes

Collect customer perceptions of competitive products

Transform data into design requirements :

“Customer requirements deployment”: identify product attributes that will meet customer needs

“House of quality”: a planning approach that links customer requirements, design parameters and competitive data.

© Mohr, Sengupta, Slater 2005

3.

4.

5.

1.

2.

6.

7.

Steps to Building

The House of Quality

Determine what , specifically, is important to customers.

Rank customer requirements in terms of importance.

Translate customer requirements into design specifications .

Rate the design attributes by organizational difficulty.

Assess the current marketplace . How effective are you at meeting customer requirements? How effective are competitors? Why is one product perceived to be better than another?

Conduct research to determine the design requirements. (try-out) target values for the

Complete and evaluate new design.

© Mohr, Sengupta, Slater 2005

QFD—Using the

Kano

Concept

Satisfaction

One-dimensional

Attractive

Dysfunctional Functional

Must-be

Known vs. Unknown

Spoken vs. Unspoken

Dissatisfaction

「狩野紀昭」 (Noriaki Kano) 品質概念圖

© Mohr, Sengupta, Slater 2005

QFD—3 Types of Attributes

1. “One-dimensional quality”:

Increases in level of attribute linearly related to customer satisfaction

Typically “known” attributes identified by customer

EX: battery life in lap tops

© Mohr, Sengupta, Slater 2005

QFD—3 Types of Attributes

(Cont.)

2. “Must-be quality”:

Increases in level of attribute has negligible effect on customer satisfaction;

However, decreases in attribute has strong negative effect on customer satisfaction.

Because they are so basic to product functionality, they are typically unspoken attributes: customer expects product to deliver these.

EX: ability of laptop to handle bumps and rough handling.

© Mohr, Sengupta, Slater 2005

QFD—3 Types of Attributes

(Cont.)

3. “Attractive Quality”:

Increases in level of attribute associated with exponential increase in customer satisfaction

But, because attribute is one that “delights” the customer, its absence does not necessarily lead to dissatisfaction

Typically unknown to customer at conscious level

Ex: de-compressible/expandable laptop

© Mohr, Sengupta, Slater 2005

QFD: Summary

Firmly grounds product design in customer needs

Allows product development team to develop common understanding of design issues and trade-offs

Reveals friction points and enhances collaboration

© Mohr, Sengupta, Slater 2005

QFD and

Total Quality Management

TQM grounded in customer knowledge and ability to deliver customer value, which is enhanced by:

Customer excellence

Cycle-time excellence

Cost excellence

Cultural excellence

© Mohr, Sengupta, Slater 2005

Customer excellence

Tied to being customer-focused and market-oriented

Knowledge of customer environment and product usage

© Mohr, Sengupta, Slater 2005

Cycle-time excellence

Products late to the market suffer negative impacts to profitability from two reasons:

Long time-to-market cycles typically experience cost overruns

More importantly, products late to the market suffer loss of market share

Lesson: Being fast to market is important, but only when combined with ability to accurately deliver customer requirements

Therefore, link QFD with TQM

© Mohr, Sengupta, Slater 2005

Relationship between Entries in the Market and Quality

Attractive Quality

Model 3

ONE-DIMENSIONAL

QUALITY

Model 2

Model 1

Development

Overall Revenue

Incr. Revenue

New Models

Must be quality

Time

© Mohr, Sengupta, Slater 2005

Does this approach to cycle time excellence make sense?

Bring higher levels of product functionality to the market incrementally over time with successive product iterations.

Yes!

Striving for complicated set of features with initial offering can lead to delays

Delays mean that customer needs may have changed or a competitor beats firm to the market

Purchasers of first generation of new product become installed base for later generations

(compatibility consideration)

© Mohr, Sengupta, Slater 2005

QFD and TQM (Cont.)

Cost Excellence

Provide necessary customer value with lowest possible cost

Use supply partnerships

Use downsizing cautiously, lest negative impact on customer value

Cultural Excellence:

Align goals of the organization and of personnel to be able to capitalize on market opportunities

Ex: culture of innovation, effective marketing/R&D interaction

© Mohr, Sengupta, Slater 2005

Kano’s House of Quality

Objectives

Approach

Customer satisfaction

•Quality

Circle,…

•QFD,…

PDCA, …

Motivation

Incentive mechanism

Base technology & IT infrastructure

© Mohr, Sengupta, Slater 2005

Prototype Testing

Prototype: an experimental design of the whole or part of a product that is used for illustration or testing purposes.

Rapid prototyping: a process for producing fully functional prototypes in reduced time.

Made possible by shorter design cycle time or the decoupling of design and manufacturing.

Enables the designer to experiment before deciding on a final design.

© Mohr, Sengupta, Slater 2005

Beta Testing

Beta version: A pre-release (potentially unreliable) version of a piece of software or hardware made available to a small number of trusted customers.

An item "in beta test" is mostly working but still under test.

In practice, systems (hardware or software) often go through two stages of release testing:

Alpha (internal) and

Beta (external).

To become a Beta tester, go to Intuit

© Mohr, Sengupta, Slater 2005

Competitive Intelligence

What: Information about competitors

Why: Provides information for better decision making and improved strategies

An early warning system

A strategy is the firm’s best response to its competitors’ response and vice versus.

© Mohr, Sengupta, Slater 2005

Competitor Analysis

Competitor’s goals and objectives

Competitor’s strategy

Competitor’s assumptions about the industry

What strategic changes will the competitor initiate?

How will the competitor respond to our initiatives?

Competitor’s key strengths and weaknesses

How can you develop this information?

© Mohr, Sengupta, Slater 2005

Effective Competitive

Intelligence Programs

Affect decisions of top managers

Are proactive in reading the market

Look beyond existing market boundaries

Utilize the Web

Gauge/measure potential for misleading signals

© Mohr, Sengupta, Slater 2005

Forecasting Customer Demand for High-Tech Innovations

“ Who the hell wants to hear actors talk?”

Failed!

Harry M. Warner (1927) reacting to addition of audio technology to silent movies

“Television won’t be able to hold on to any market it captures after the first six months. People will soon get tired of staring at night.” a plywood box every

Darryl Zanuck, 20 th Century Fox Films, 1946

“There is little reason for any individual to have a computer in their home.”

Ken Olsen, president and founder of the DEC

Corporation,1977

© Mohr, Sengupta, Slater 2005

Qualitative Forecasting Tools

Delphi method

Rely on a panel of experts

Analogous data

Rely on similar products

Risk of commensurability

Internet dialed up to 90M users by 3 years, while Radio took 13 years to 60 and TV 15 years.

Information Acceleration

Use “virtual” prototypes to obtain customer feedback

© Mohr, Sengupta, Slater 2005

High-Tech Forecasting Hazards

Lack of historical data

Difficult for customers to preferences articulate

Inflated projects from over-enthusiasm

Competition from incumbent technologies (deterrence)

Don’t confuse confidence in the forecast with reality (quality of the information)

© Mohr, Sengupta, Slater 2005

Appendix: Conjoint Analysis

Products/Services are Composed of multiple Features/Attributes

Personal Computer:

Brand + Microprocessor Speed + RAM + CD

Speed + HD Size + Price

© Mohr, Sengupta, Slater 2005

How to Learn What

Customers Want

Ask Direct Questions about preference:

What brand do you prefer?

What hard drive size would you like?

What processor speed would you like?

How much do you want to pay?

Answers often trivial and unenlightening (e.g. respondents prefer low price to high price, faster speeds to lower speeds)

© Mohr, Sengupta, Slater 2005

How to Learn What Is

Important

Ask Direct Questions about importances

How important is it that you get the <<brand, hard drive size, processor speed, price >> that you want?

Importance Ratings often have low discrimination:

Average Importance Ratings

Brand

Hard Drive

Speed

Price

0

6.7

7.2

7.5

8.1

5 10

© Mohr, Sengupta, Slater 2005

What is Conjoint Analysis?

Research technique developed in early 1970s

Measures how buyers value components of a product/service bundle

Dictionary definition-- “Conjoint: Joined together, combined.”

Marketer’s catch-phrase-- “Features CONsidered

JOINTly”

© Mohr, Sengupta, Slater 2005

How Does Conjoint Analysis Work?

We vary the product features (independent variables) to build many (usually 12 or more) product concepts.

We ask respondents to rate/rank those product concepts

(dependent variable).

Based on the respondents’ evaluations of the product concepts, we figure out how much unique value (utility) each of the features added.

(Regress dependent variable on independent variables; betas equal part worth utilities.)

© Mohr, Sengupta, Slater 2005

What’s So Good About Conjoint?

More Realistic Questions

Would you prefer . . .

210 Horsepower or 140 Horsepower

17 MPG 28 MPG

If choose left, you prefer power. If choose right, you prefer fuel economy.

Rather than ask directly whether you prefer power over fuel economy, we present realistic tradeoff scenarios and infer preferences from your product choices.

When respondents are forced to make difficult tradeoffs , we learn what they truly value .

For application examples, go to Sawtooth Software .

© Mohr, Sengupta, Slater 2005

First Step: Create Attribute List

Attributes assumed to be independent (Brand,

Speed, Color, Price, etc.)

Each attribute has varying degrees, or “levels”

Brand: Dell, Gateway, Compaq, IBM

Speed: 3.2 Ghz, 2.8 Ghz, 2.4 Ghz

Price: $500, $1200, $2000

Each level is assumed to be mutually exclusive of the others (a product has one and only one level level of that attribute).

© Mohr, Sengupta, Slater 2005

The Conjoint Task

If you were in the market to buy a new PC today and these were your only options, which would you choose?

IBM Dell Compaq

2.4 GHz

Processor

3.2 GHz

Processor

2.8 GHz

Processor

512 Meg

RAM

21-Inch

Monitor

$1,200

256 Meg

RAM

21-Inch

Monitor

$2,000

256 Meg

RAM

17-Inch

Monitor

$1,550

None: I

Wouldn't

Choose

Any of

These

© Mohr, Sengupta, Slater 2005

Output: Conjoint Utilities

Numeric values that reflect how desirable different features are:

Feature

Dell

Compaq

3.2 Ghz P4 Processor

2.8 Ghz P4 Processor

2.4 Ghz Celeron Processor

Utility

2.5

1.8

4.8

3.2

1.2

The higher the utility, the better

© Mohr, Sengupta, Slater 2005

Output: Conjoint Importances

Measure of how much influence each attribute has on people’s choices

Best minus worst level of each attribute, percentaged:

Dell - Compaq (2.5 - 1.8) = 0.7

16.3%

3.2 – 2.4 Ghz Processor (4.8 - 1.2) = 3.6

83.7%

----- --------

Totals:4.3

100.0%

Importances are directly affected by the range of levels you choose for each attribute

© Mohr, Sengupta, Slater 2005

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