JiscMail Logo
Email discussion lists for the UK Education and Research communities

Help for PHD-DESIGN Archives


PHD-DESIGN Archives

PHD-DESIGN Archives


PHD-DESIGN@JISCMAIL.AC.UK


View:

Message:

[

First

|

Previous

|

Next

|

Last

]

By Topic:

[

First

|

Previous

|

Next

|

Last

]

By Author:

[

First

|

Previous

|

Next

|

Last

]

Font:

Monospaced Font

LISTSERV Archives

LISTSERV Archives

PHD-DESIGN Home

PHD-DESIGN Home

PHD-DESIGN  July 2011

PHD-DESIGN July 2011

Options

Subscribe or Unsubscribe

Subscribe or Unsubscribe

Log In

Log In

Get Password

Get Password

Subject:

Re: measuring the impact of design in product development

From:

Terence Love <[log in to unmask]>

Reply-To:

PhD-Design - This list is for discussion of PhD studies and related research in Design <[log in to unmask]>

Date:

Fri, 22 Jul 2011 09:38:03 +0800

Content-Type:

text/plain

Parts/Attachments:

Parts/Attachments

text/plain (134 lines)

Hi Ken,

My experience is that things are not as simple as you suggest in relation to
distilling the value of design (below) . What you described was one of the
pathways that I explored 5 years ago researching the value of design. My
experience was that the approach doesn't work for multiple reasons. When
value is accrued it's not possible to easily identify whether the increase
in value was due to:

a) Management deciding to commit to a new product (i.e. outcomes are
primarily due to management decisions rather than the detail of design
decisions)

b) New technology being available that enables new features to be added
(i.e. the increase in value was primarily due to engineering )

c) Change in attractiveness and sales increases are primarily due to
success of previous product (s) and evolution of consumer sentiment (which
is not necessarily itself primarily due to design activity)

d) Improvements in firms efforts at consumer retention (viral marketing etc
leading to improved sales outcomes independent of product design)

e) Good marketing research identifying features that customers require
(i.e. most of the conceptual design decisions are done by marketing
researchers rather than designers)

f) Good advertising

g) Improved sales channels (more and better retail outlets increase sales
independently of quality of product design)

h) Improved manufacturing enabling lower pricing (increased sales can be
primarily due to better price/value relationship)

i) Improved supply channels (sales of many electronics devices are limited
by distribution and manufacturing - e.g. Kindle and cars)

j) Decisions by management about the structure of firms' innovation
processes (think Nokia - firms that have manger KPIs that insist on a flow
rate of new products can result of a flow of less attractive of failed
products, independent of design activity - hence value is primarily echoing
organisaitonal decisions rather than design )

k) Access to sound information and research data (quality of products and
sales volume can be primarily due to better access to data rather than
design activity)

l) Type of product stream. Product streams and platforms are more or less
sensitive to good design. For example, sales rates of extreme outdoor
clothing are relatively independent of products being competently designed
to satisfy the needs of extreme outdoor conditions.

m) Type of market. Some markets respond more or less to improved design
outcomes, and consumers' responses are typically variable, over short and
long time frames. Changes in the value of a product (or implied value of
design) can be more a matter of incidental market changes than design
activity.

n) Errors, luck and increased value outcomes that happen in spite of or
accidentally alongside design activity.

The latter is interesting in terms of one defining characteristic of design
activity, that has been poorly addressed in the design research and design
literature - the ability to predict the behaviour of outcomes.

Put simply, if designers do not have a justifiable process to predict the
behaviour of outcomes (including changes in sales, changes in the world,
product behaviour, changes in consumer behaviours, future changes in society
etc) then it is hard to justify that it is designers and design activity
that have achieved increases in value.

All of the above issues are found even in apparently 'simple' situations
such as a product relaunch. They confound reasoning and analysis about the
economic contribution of design based on publicly reported sales data. Put
simply, I suggest that unless in single specific cases, the process and
activity events, values and outcomes were drilled down and explained at a
very detailed level, it would be possible in each case to come to an
equivalently sound argument that any value improvement was due to other
factors than design activity.

Perhaps someone would put up a case to test?

Warm regards,
Terry

===
Dr. Terence Love, FDRS, AMIMechE, PMACM, MISI
Love Design and Research
Tel/Fax: +61 (0)8 9305 7629
Mobile: +61 (0)434 975 848
[log in to unmask]
www.love.com.au
===



start>>-----Original Message-----
From: PhD-Design - This list is for discussion of PhD studies and related
research in Design [mailto:[log in to unmask]] On Behalf Of Ken
Friedman
Sent: Friday, 22 July 2011 6:00 AM
To: Dr Terence Love
Subject: Re: measuring the impact of design in product development


While I know of examples of product relaunches where one can infer from a
successful relaunch that design contributes value, the challenges of
isolating the contribution are great. This is especially true where much of
the market was already occupied by an original product when consumers were
happy enough with the first product not to buy the relaunched product. But
there are a few highly visible cases where you can draw reasoned inferential
evidence: the huge success of the second versions or updates on successful
software, much of it purchases again by users of the first version is a case
in point. Another example involves the millions of people who owned a fully
functioning iPad -- as I did -- and went out to buy an iPad2 soon after the
release. The new design features in hardware and software contributed to
that purchase decision. From publicly accessible figures on these kinds of
products, you can make some reasonable statements about the economic
contribution of design based on publicly reported sales data.

The method is simple. Identify products that demonstrate these kinds of
attributes. Show the difference between old purchase figures and new
purchase figures including appropriate allowances for known users or
percentages of users who owned the earlier version and then bought the new
version. Increase in first sales and second sales to known users will give
you a good benchmark.

Best regards,

Ken

end>>

Top of Message | Previous Page | Permalink

JiscMail Tools


RSS Feeds and Sharing


Advanced Options


Archives

April 2024
March 2024
February 2024
January 2024
December 2023
November 2023
October 2023
September 2023
August 2023
July 2023
June 2023
May 2023
April 2023
March 2023
February 2023
January 2023
December 2022
November 2022
October 2022
September 2022
August 2022
July 2022
June 2022
May 2022
April 2022
March 2022
February 2022
January 2022
December 2021
November 2021
October 2021
September 2021
August 2021
July 2021
June 2021
May 2021
April 2021
March 2021
February 2021
January 2021
December 2020
November 2020
October 2020
September 2020
August 2020
July 2020
June 2020
May 2020
April 2020
March 2020
February 2020
January 2020
December 2019
November 2019
October 2019
September 2019
August 2019
July 2019
June 2019
May 2019
April 2019
March 2019
February 2019
January 2019
December 2018
November 2018
October 2018
September 2018
August 2018
July 2018
June 2018
May 2018
April 2018
March 2018
February 2018
January 2018
December 2017
November 2017
October 2017
September 2017
August 2017
July 2017
June 2017
May 2017
April 2017
March 2017
February 2017
January 2017
December 2016
November 2016
October 2016
September 2016
August 2016
July 2016
June 2016
May 2016
April 2016
March 2016
February 2016
January 2016
December 2015
November 2015
October 2015
September 2015
August 2015
July 2015
June 2015
May 2015
April 2015
March 2015
February 2015
January 2015
December 2014
November 2014
October 2014
September 2014
August 2014
July 2014
June 2014
May 2014
April 2014
March 2014
February 2014
January 2014
December 2013
November 2013
October 2013
September 2013
August 2013
July 2013
June 2013
May 2013
April 2013
March 2013
February 2013
January 2013
December 2012
November 2012
October 2012
September 2012
August 2012
July 2012
June 2012
May 2012
April 2012
March 2012
February 2012
January 2012
December 2011
November 2011
October 2011
September 2011
August 2011
July 2011
June 2011
May 2011
April 2011
March 2011
February 2011
January 2011
December 2010
November 2010
October 2010
September 2010
August 2010
July 2010
June 2010
May 2010
April 2010
March 2010
February 2010
January 2010
December 2009
November 2009
October 2009
September 2009
August 2009
July 2009
June 2009
May 2009
April 2009
March 2009
February 2009
January 2009
December 2008
November 2008
October 2008
September 2008
August 2008
July 2008
June 2008
May 2008
April 2008
March 2008
February 2008
January 2008
December 2007
November 2007
October 2007
September 2007
August 2007
July 2007
June 2007
May 2007
April 2007
March 2007
February 2007
January 2007
2006
2005
2004
2003
2002
2001
2000
1999
1998


JiscMail is a Jisc service.

View our service policies at https://www.jiscmail.ac.uk/policyandsecurity/ and Jisc's privacy policy at https://www.jisc.ac.uk/website/privacy-notice

For help and support help@jisc.ac.uk

Secured by F-Secure Anti-Virus CataList Email List Search Powered by the LISTSERV Email List Manager