Tag Archives: research

Today’s Customer Wants to Go Fast

Today's Customer Wants to Go Fast

GUEST POST from Shep Hyken

Customers don’t want to wait. Specifically, they don’t want you to waste their time. If you do make them wait, you risk losing them. Making your customers wait sends the message that you don’t respect them or their time.

Jay Baer, a customer experience and marketing expert, proves this in his latest study, The Time to Win, which measures the impact of speed and responsiveness on customer experience and loyalty.

Just how important is speed? Consider these findings from Baer’s report:

  • Two-thirds of customers say speed is as important as price.
  • More than half of the customers surveyed hired the first business to respond to their requests, even if it was more expensive.
  • Half of all customers will not wait more than three minutes in a store.

I had a chance to interview Baer on Amazing Business Radio, where he shared some important insights that should be considered. Here are six of my favorites, followed by my commentary:

  • Speed is the most important component of customer experience and the only one that never pauses or goes backward – Calling it the most important component of the customer experience is bold, but consider a key finding from the report: 50% of customers are less likely to spend money with a business that takes longer to respond than they expect. Baer says, “Customers’ expectations for speed and responsiveness escalate every year without fail.”
  • Everyone has the same amount of time, 1,440 minutes a day, and there is nothing we can do to get more – Time is the same for everyone. Nobody gets more than anyone else. It has nothing to do with being rich, poor, young or old. And once it’s gone, you can’t get it back. Starting with that premise, business leaders should ask themselves, “What can we do to make sure we’re not to blame for wasting our customers’ time?”
  • Age makes a difference – In our interview, I was surprised when Baer shared the generations that were most and least patient. I would have thought Baby Boomers (the older generation) would have been more patient, but I was wrong. Gen-Z is the most patient generation. Boomers are the least patient. The point is to know your customers. Who do you cater to? Understand the demographics and improve your response time accordingly.
  • The first company that responds to a customer has an incredible advantage – If your company is the first to respond, you could win the customer’s business, regardless of price. Specifically, 53% of consumers hired the first business that responded to them. Customers want to make decisions and move on. If you give them what they want, they can skip the hassle and time of comparing all the competition.
  • Fast response impacts your bottom line – Just as customer service and convenience make price less relevant, so does quick response or fast service. The research found that customers would pay an average of 19% more for “always immediate service,” which includes no waiting in line, not waiting on hold, etc. In other words, customers put a premium on speed. It’s about convenience. Furthermore, 27% of customers are more likely to spend money when the brand responds faster than expected.
  • Right now is not really right now – As customers’ expectations and their need for speed increase, the concept of “right now” can seem daunting. According to Baer, the concept of “right now” is the optimal amount of elapsed time in every customer interaction throughout the entire customer journey. If that sounds technical, here’s a simpler way of putting it: “Right now” is simply slightly faster than the customer expected.

With only 1,440 minutes available each day, customers want to devote as few minutes as possible to waiting, as Baer’s research proves. This is so important that people will pay more for it. The security lines in airports are perfect examples of this. If you’ve taken a flight in a major U.S. airport, you’ll notice three lines to get through security. The TSA security line is for most passengers. This is free. Then there is TSA PreCheck. For a small investment of $78 (which covers you for five years), you can get pre-qualified to use a shorter line where you don’t have to take your computer out of your bag, take off your shoes, and more. And for a bit more money, you can sign up for CLEAR, which allows you to jump to the front of the TSA lines.

Baer’s research makes an important point. If you want a competitive edge in business, respect your customer’s time. Don’t make them wait. Respond quickly to their questions, requests, and problems. Find ways to incorporate speed into your customer experience and you’ll reap the benefits of returning customers who spend more and say, “I’ll be back!”

This article was originally published on Forbes.com.

Image Credit: Wikimedia Commons

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Top 100 Innovation and Transformation Articles of 2022

Top 100 Innovation and Transformation Articles of 2022

2021 marked the re-birth of my original Blogging Innovation blog as a new blog called Human-Centered Change and Innovation.

Many of you may know that Blogging Innovation grew into the world’s most popular global innovation community before being re-branded as InnovationExcellence.com and being ultimately sold to DisruptorLeague.com.

Thanks to an outpouring of support I’ve ignited the fuse of this new multiple author blog around the topics of human-centered change, innovation, transformation and design.

I feel blessed that the global innovation and change professional communities have responded with a growing roster of contributing authors and more than 17,000 newsletter subscribers.

To celebrate we’ve pulled together the Top 100 Innovation and Transformation Articles of 2022 from our archive of over 1,000 articles on these topics.

We do some other rankings too.

We just published the Top 40 Innovation Bloggers of 2022 and as the volume of this blog has grown we have brought back our monthly article ranking to complement this annual one.

But enough delay, here are the 100 most popular innovation and transformation posts of 2022.

Did your favorite make the cut?

1. A Guide to Organizing Innovation – by Jesse Nieminen

2. The Education Business Model Canvas – by Arlen Meyers, M.D.

3. 50 Cognitive Biases Reference – Free Download – by Braden Kelley

4. Why Innovation Heroes Indicate a Dysfunctional Organization – by Steve Blank

5. The One Movie All Electric Car Designers Should Watch – by Braden Kelley

6. Don’t Forget to Innovate the Customer Experience – by Braden Kelley

7. What Latest Research Reveals About Innovation Management Software – by Jesse Nieminen

8. Is Now the Time to Finally End Our Culture of Disposability? – by Braden Kelley

9. Free Innovation Maturity Assessment – by Braden Kelley

10. Cognitive Bandwidth – Staying Innovative in ‘Interesting’ Times – by Pete Foley

11. Is Digital Different? – by John Bessant

12. Top 40 Innovation Bloggers of 2021 – Curated by Braden Kelley

13. Can We Innovate Like Elon Musk? – by Pete Foley

14. Why Amazon Wants to Sell You Robots – by Shep Hyken

15. Free Human-Centered Change Tools – by Braden Kelley

16. What is Human-Centered Change? – by Braden Kelley

17. Not Invented Here – by John Bessant

18. Top Five Reasons Customers Don’t Return – by Shep Hyken

19. Visual Project Charter™ – 35″ x 56″ (Poster Size) and JPG for Online Whiteboarding – by Braden Kelley

20. Nine Innovation Roles – by Braden Kelley

21. How Consensus Kills Innovation – by Greg Satell

22. Why So Much Innoflation? – by Arlen Meyers, M.D.

23. ACMP Standard for Change Management® Visualization – 35″ x 56″ (Poster Size) – Association of Change Management Professionals – by Braden Kelley

24. 12 Reasons to Write Your Own Letter of Recommendation – by Arlen Meyers, M.D.

25. The Five Keys to Successful Change – by Braden Kelley

26. Innovation Theater – How to Fake It ‘Till You Make It – by Arlen Meyers, M.D.

27. Five Immutable Laws of Change – by Greg Satell

28. How to Free Ourselves of Conspiracy Theories – by Greg Satell

29. An Innovation Action Plan for the New CTO – by Steve Blank

30. How to Write a Failure Resume – by Arlen Meyers, M.D.


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31. Entrepreneurs Must Think Like a Change Leader – by Braden Kelley

32. No Regret Decisions: The First Steps of Leading through Hyper-Change – by Phil Buckley

33. Parallels Between the 1920’s and Today Are Frightening – by Greg Satell

34. Technology Not Always the Key to Innovation – by Braden Kelley

35. The Era of Moving Fast and Breaking Things is Over – by Greg Satell

36. A Startup’s Guide to Marketing Communications – by Steve Blank

37. You Must Be Comfortable with Being Uncomfortable – by Janet Sernack

38. Four Key Attributes of Transformational Leaders – by Greg Satell

39. We Were Wrong About What Drove the 21st Century – by Greg Satell

40. Stoking Your Innovation Bonfire – by Braden Kelley

41. Now is the Time to Design Cost Out of Our Products – by Mike Shipulski

42. Why Good Ideas Fail – by Greg Satell

43. Five Myths That Kill Change and Transformation – by Greg Satell

44. 600 Free Innovation, Transformation and Design Quote Slides – Curated by Braden Kelley

45. FutureHacking – by Braden Kelley

46. Innovation Requires Constraints – by Greg Satell

47. The Experiment Canvas™ – 35″ x 56″ (Poster Size) – by Braden Kelley

48. The Pyramid of Results, Motivation and Ability – by Braden Kelley

49. Four Paradigm Shifts Defining Our Next Decade – by Greg Satell

50. Why Most Corporate Mindset Programs Are a Waste of Time – by Alain Thys


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51. Impact of Cultural Differences on Innovation – by Jesse Nieminen

52. 600+ Downloadable Quote Posters – Curated by Braden Kelley

53. The Four Secrets of Innovation Implementation – by Shilpi Kumar

54. What Entrepreneurship Education Really Teaches Us – by Arlen Meyers, M.D.

55. Reset and Reconnect in a Chaotic World – by Janet Sernack

56. You Can’t Innovate Without This One Thing – by Robyn Bolton

57. Why Change Must Be Built on Common Ground – by Greg Satell

58. Four Innovation Ecosystem Building Blocks – by Greg Satell

59. Problem Seeking 101 – by Arlen Meyers, M.D.

60. Taking Personal Responsibility – Back to Leadership Basics – by Janet Sernack

61. The Lost Tribe of Medicine – by Arlen Meyers, M.D.

62. Invest Yourself in All That You Do – by Douglas Ferguson

63. Bureaucracy and Politics versus Innovation – by Braden Kelley

64. Dare to Think Differently – by Janet Sernack

65. Bridging the Gap Between Strategy and Reality – by Braden Kelley

66. Innovation vs. Invention vs. Creativity – by Braden Kelley

67. Building a Learn It All Culture – by Braden Kelley

68. Real Change Requires a Majority – by Greg Satell

69. Human-Centered Innovation Toolkit – by Braden Kelley

70. Silicon Valley Has Become a Doomsday Machine – by Greg Satell

71. Three Steps to Digital and AI Transformation – by Arlen Meyers, M.D.

72. We need MD/MBEs not MD/MBAs – by Arlen Meyers, M.D.

73. What You Must Know Before Leading a Design Thinking Workshop – by Douglas Ferguson

74. New Skills Needed for a New Era of Innovation – by Greg Satell

75. The Leader’s Guide to Making Innovation Happen – by Jesse Nieminen

76. Marriott’s Approach to Customer Service – by Shep Hyken

77. Flaws in the Crawl Walk Run Methodology – by Braden Kelley

78. Disrupt Yourself, Your Team and Your Organization – by Janet Sernack

79. Why Stupid Questions Are Important to Innovation – by Greg Satell

80. Breaking the Iceberg of Company Culture – by Douglas Ferguson


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81. A Brave Post-Coronavirus New World – by Greg Satell

82. What Can Leaders Do to Have More Innovative Teams? – by Diana Porumboiu

83. Mentors Advise and Sponsors Invest – by Arlen Meyers, M.D.

84. Increasing Organizational Agility – by Braden Kelley

85. Should You Have a Department of Artificial Intelligence? – by Arlen Meyers, M.D.

86. This 9-Box Grid Can Help Grow Your Best Future Talent – by Soren Kaplan

87. Creating Employee Connection Innovations in the HR, People & Culture Space – by Chris Rollins

88. Developing 21st-Century Leader and Team Superpowers – by Janet Sernack

89. Accelerate Your Mission – by Brian Miller

90. How the Customer in 9C Saved Continental Airlines from Bankruptcy – by Howard Tiersky

91. How to Effectively Manage Remotely – by Douglas Ferguson

92. Leading a Culture of Innovation from Any Seat – by Patricia Salamone

93. Bring Newness to Corporate Learning with Gamification – by Janet Sernack

94. Selling to Generation Z – by Shep Hyken

95. Importance of Measuring Your Organization’s Innovation Maturity – by Braden Kelley

96. Innovation Champions and Pilot Partners from Outside In – by Arlen Meyers, M.D.

97. Transformation Insights – by Bruce Fairley

98. Teaching Old Fish New Tricks – by Braden Kelley

99. Innovating Through Adversity and Constraints – by Janet Sernack

100. It is Easier to Change People than to Change People – by Annette Franz

Curious which article just missed the cut? Well, here it is just for fun:

101. Chance to Help Make Futurism and Foresight Accessible – by Braden Kelley

These are the Top 100 innovation and transformation articles of 2022 based on the number of page views. If your favorite Human-Centered Change & Innovation article didn’t make the cut, then send a tweet to @innovate and maybe we’ll consider doing a People’s Choice List for 2022.

If you’re not familiar with Human-Centered Change & Innovation, we publish 1-6 new articles every week focused on human-centered change, innovation, transformation and design insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook feed or on Twitter or LinkedIn too!

Editor’s Note: Human-Centered Change & Innovation is open to contributions from any and all the innovation & transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have a valuable insight to share with everyone for the greater good. If you’d like to contribute, contact us.

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3 Things Politicians Can Do to Create Innovation

3 Things Politicians Can Do to Create Innovation

GUEST POST from Greg Satell

In the 1960s, the federal government accounted for more than 60% of all research funding, yet by 2016 that had fallen to just over 20%. During the same time, businesses’ share of R&D investment more than doubled from about 30% to almost 70%. Government’s role in US innovation, it seems, has greatly diminished.

Yet new research suggests that the opposite is actually true. Analyzing all patents since 1926, researchers found that the number of patents that relied on government support has risen from 12% in the 1980s to almost 30% today. Interestingly, the same research found that startups benefitted the most from government research.

As we struggle to improve productivity from historical lows, we need the public sector to play a part. The truth is that the government has a unique role to play in driving innovation and research is only part of it. In addition to funding labs and scientists, it can help bring new ideas to market, act as a convening force and offer crucial expertise to private businesses.

1. Treat Knowledge As A Public Good

By 1941, it had become clear that the war raging in Europe would soon envelop the US. With this in mind, Vannevar Bush went to President Roosevelt with a visionary idea — to mobilize the nation’s growing scientific prowess for the war effort. Roosevelt agreed and signed an executive order that would create the Office of Scientific Research and Development (OSRD).

With little time to build labs, the OSRD focused on awarding grants to private organizations such as universities. It was, by all accounts, an enormous success and lead to important breakthroughs such as the atomic bomb, proximity fuze and radar. As the war was winding down, Roosevelt asked Bush to write a report to continue OSRD’s success peacetime.

That report, titled Science, The Endless Frontier, was delivered to President Truman and would set the stage for America’s lasting technological dominance. It set forth a new vision in which scientific advancement would be treated as a public good, financed by the government, but made available for private industry. As Bush explained:

Basic research leads to new knowledge. It provides scientific capital. It creates the fund from which the practical applications of knowledge must be drawn. New products and new processes do not appear full-grown. They are founded on new principles and new conceptions, which in turn are painstakingly developed by research in the purest realms of science.

The influence of Bush’s idea cannot be overstated. It led to the creation of new government agencies, such as the National Science Foundation (NSF), the National Institutes of Health (NIH) and, later, the Defense Advanced Research Projects Agency (DARPA). These helped to create a scientific infrastructure that has no equal anywhere in the world.

2. Help to Overcome the Valley of Death

Government has a unique role to play in basic research. Because fundamental discoveries are, almost by definition, widely applicable, they are much more valuable if they are published openly. At the same time, because private firms have relatively narrow interests, they are less able to fully leverage basic discoveries.

However, many assume that because basic research is a primary role for public investment that it is its only relevant function. Clearly, that’s not the case. Another important role government has to play is helping to overcome the gap between the discovery of a new technology and its commercialization, which is so fraught with peril that it’s often called the “Valley of Death.”

The oldest and best known of initiative is SBIR/STTR program, which is designed to help startups commercialize cutting-edge research. Grants are given in two phases. In the first, a proof-of-concept phase, grants are capped at $150,000. If that’s successful, up to $1 million more can be awarded. Some SBIR/STTR companies, such as Qualcomm, iRobot and Symantec, have become industry leaders.

Other more focused programs have also been established. ARPA-e focuses exclusively on advanced energy technologies. Lab Embedded Entrepreneurship Programs (LEEP) give entrepreneurs access to the facilities and expertise of the National Labs in addition to a small grant. The Manufacturing Extension Program (MEP) helps smaller companies build the skills they need to be globally competitive.

3. Act As a Convening Force

A third role government can play is that of a convening force. For example, in 1987 a non-profit consortium made up of government labs, research universities and private sector companies, called SEMATECH, was created to regain competitiveness in the semiconductor industry. America soon regained its lead, which continues even today.

The reason that SEMATECH was so successful was that it combined the scientific expertise of the country’s top labs with the private sector’s experience in solving real world problems. It also sent a strong signal that the federal government saw the technology as important, which encouraged private companies to step up their investment as well.

Today, a number of new initiatives have been launched that follow a similar model. The most wide-ranging is the Manufacturing USA Institutes, which are helping drive advancement in everything from robotics and photonics to biofabrication and composite materials. Others, such as JCESR and the Critical Materials Institute, are more narrowly focused.

Much like its role in supporting basic science and helping new technologies get through the “Valley of Death,” acting as a convening force is something that, for the most part, only the federal government can do.

Make No Mistake: This Is Our New Sputnik Moment

In the 20th century three key technologies, electricity, internal combustion and computing drove economic advancement and the United States led each one. That is why it is often called the “American Century.” No country, perhaps since the Roman Empire, has ever so thoroughly dominated the known world.

Yet the 21st century will be different. The most important technologies will be things like synthetic biology, materials science and artificial intelligence. These are largely nascent and it’s still not clear who, if anybody, will emerge as a clear leader. It is very possible that we will compete economically and technologically with China, much like we used to compete politically and militarily with the Soviet Union.

Yet back in the Cold War, it was obvious that the public sector had an important role to play. When Kennedy vowed to go to the moon, nobody argued that the effort should be privatized. It was clear that such an enormous undertaking needed government leadership at the highest levels. We pulled together and we won.

Today, by all indications, we are at a new Sputnik moment in which our global scientific and technological leadership is being seriously challenged. We can respond with imagination, creating novel ways to, as Bush put it, “turn the wheels of private and public enterprise,” or we can let the moment pass us by and let the next generation face the consequences.

One thing is clear. We will be remembered for what we chose to do.

— Article courtesy of the Digital Tonto blog
— Image credit: Pixabay

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Top 10 Human-Centered Change & Innovation Articles of September 2022

Top 10 Human-Centered Change & Innovation Articles of September 2022Drum roll please…

At the beginning of each month we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. Did your favorite make the cut?

But enough delay, here are September’s ten most popular innovation posts:

  1. You Can’t Innovate Without This One Thing — by Robyn Bolton
  2. Importance of Measuring Your Organization’s Innovation Maturity — by Braden Kelley
  3. 3 Ways to Get Customer Insights without Talking to Customers
    — by Robyn Bolton
  4. Four Lessons Learned from the Digital Revolution — by Greg Satell
  5. Are You Hanging Your Chief Innovation Officer Out to Dry? — by Teresa Spangler
  6. Why Good Job Interviews Don’t Lead to Good Job Performance — by Arlen Meyers, M.D.
  7. Six Simple Growth Hacks for Startups — by Soren Kaplan
  8. Why Diversity and Inclusion Are Entrepreneurial Competencies
    — by Arlen Meyers, M.D.
  9. The Seven P’s of Raising Money from Investors — by Arlen Meyers, M.D.
  10. What’s Next – The Only Way Forward is Through — by Braden Kelley

BONUS – Here are five more strong articles published in August that continue to resonate with people:

If you’re not familiar with Human-Centered Change & Innovation, we publish 4-7 new articles every week built around innovation and transformation insights from our roster of contributing authors and ad hoc submissions from community members. Get the articles right in your Facebook, Twitter or Linkedin feeds too!

Have something to contribute?

Human-Centered Change & Innovation is open to contributions from any and all innovation and transformation professionals out there (practitioners, professors, researchers, consultants, authors, etc.) who have valuable human-centered change and innovation insights to share with everyone for the greater good. If you’d like to contribute, please contact me.

P.S. Here are our Top 40 Innovation Bloggers lists from the last two years:

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Top Five Reasons Customers Don’t Return

Top Five Reasons Customers Don't Return

GUEST POST from Shep Hyken

Whatever you sell, be it a product or service, your customers expect that it will do what it’s supposed to do. If you sell a car, the car should work. If you sell a service, the outcome should meet expectations. That’s table stakes.

So, let’s assume that whatever your customers are buying from you will meet their expectations. However, that’s not always why the customer buys from you in the first place, let alone comes back to buy more. It’s the customer experience that drives that.

In our 2022 Achieving Customer Amazement research, more than 1,000 American consumers were asked, “How likely would you be to switch companies or leave a brand after experiencing any of the following bad customer service experiences?” They were asked to rate several reasons using a scale that ranged from “not likely” to “very likely.” Here are the top five reasons customers would leave:

1. Rudeness or Apathy From a Company or Brand Employee

This was the No. 1 reason, coming in at 75%. What’s interesting is that in the late 1970s a study was commissioned by the White House Office of Consumer Affairs, and the top reason for customers leaving (over 70%) was the same. It’s hard to believe that the numbers haven’t changed for 40 years, but this continues to be the No. 1 reason customers don’t come back.

2. Inconsistent Information

There is no excuse for inconsistent information. Obviously, this is very frustrating to customers, with 72% saying this would drive them to find someplace else to do business. Have you ever called a company’s customer support number with a question and didn’t like the answer? If you truly believed the answer was incorrect, you may have called back to ask someone else the same question, hoping for a different answer. And it’s amazing how many times you get a different answer.

3. Inability to Connect with Someone From Customer Support

Self-service or digital support is becoming more popular. Customers are learning that it’s often quicker and easier to visit a website, read the frequently asked questions or interact with an AI-fueled chatbot. However, there are times when you want to talk to a human. It should be an easy, seamless transition, but some companies hide behind a wall of digital support and make it difficult for a customer to connect to a live agent. Furthermore, some companies bury their customer support number on their website, making it difficult, if not impossible, to find. This third reason customers leave comes in at 71%, just four percentage points off the No. 1 reason.

4. A Bad Customer Service Experience

I would think this would be at the top of the list, but at 68%, it takes fourth place. A bad customer service experience is exactly that. It’s just bad. But survey participants considered dealing with a rude or apathetic employee worse than an overall bad experience. My interpretation is that you might get a second chance following an overall bad experience. However, if customers are treated with disrespect (rudeness and apathy), it’s more than likely you won’t see them again.

5. Inconsistent Experience

You can’t be great one day, not so great the next day, average another day, etc. Inconsistency erodes confidence. Fifty-nine percent of the customers we surveyed would walk if they didn’t know what to expect. Customers want a consistent and predictable experience. That gives them confidence that they know what to expect every time they do business with you.

Conclusion

As you look at this list, you might think, “I knew that.” Of course, you did. You’re a customer. You don’t want to deal with employees who are rude or apathetic. It bothers you to get inconsistent information, and it’s upsetting when you want to talk with someone from a company but can’t. You get frustrated when you have a bad customer service experience. And you get irritated with an inconsistent experience. Who wouldn’t?

This article originally appeared on Forbes

Image Credit: Shep Hyken

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What Latest Research Reveals About Innovation Management Software

What Latest Research Reveals About Innovation Management Software

GUEST POST from Jesse Nieminen

Our industry of innovation management software is quite an interesting one. It’s been around for a while, but it’s still not a mainstay that every organization would use, at least not in the same way as CRM and team communication software are.

Hence, there’s quite little independent research available out there to prove its efficacy, or even for determining which parts of it are the most valuable.

So, when I saw a new study, conducted jointly by a few German universities, come out on the topic, I was naturally curious to learn more.

In this article, I’ll share the key findings of the study with you, as well as some personal thoughts on the how and why behind these findings. We’ll also wrap up the discussion by considering how these findings relate to the wider trends within innovation management.

About the Study

Before we get to the results, let’s first briefly cover what the study was actually about and how it was conducted.

First, the focus of the study was to analyze the role of Innovation Management Software (IMS) adoption for New Product Development (NPD) effectiveness and efficiency, as well as the factors (software functionality and offered services) that actually led to successful adoption of said innovation management software.

The data was collected with an online questionnaire that was answered by innovation managers from 199 German firms of varying sizes, 45% of which used an Innovation Management Software, and 55% of which didn’t.

While this is the largest independent piece of research I’ve yet seen on innovation management software, we should remember that all research comes with certain limitations and caveats, and it’s important to understand and keep these in mind.

You can read the paper for a more detailed list, but in my opinion, this boils down to a few key things:

  • First, the study uses NPD performance as a proxy for innovation outcomes. This is an understandable choice to make the research practical, but in reality, innovation is much more than just NPD.
  • Second, while the sample size of companies is respectable, the demographic is quite homogenous as they are all German companies that employ an innovation manager, which obviously isn’t representative of every organization out there.
  • Third, the results are analyzed with regression analyses, which always brings up the age-old dilemma: correlation doesn’t imply causation. In other words, the study can tell us the “what”, not the “why” or “how”.
  • And finally, while the chosen variables are based on validated prior research, the questions still require subjective analysis from the respondent, which can introduce some bias to the results.

So, let’s keep these in mind and move on to the actual findings.

The Main Findings of the Study

The authors have done a great job in summarizing the hypothesis and respective results in a table, which you’ll also find reproduced below.

Innovation Management Software Research Results

Let’s break the results down by hypothesis and cover the main takeaways for each.

Innovation Management Software Adoption Leads to Better NPD Performance

The first hypothesis was that using an Innovation Management Software would lead to better New Product Development performance. This can further be broken down into two parts: efficiency and effectiveness.

The results show that IMS adoption does indeed improve NPD efficiency, but the impact on NPD effectiveness wasn’t significant.

Innovation Management Software improves New Product Development efficiency, but the impact on effectiveness isn’t significant.

Intuitively, this makes sense and is also well in line with our experience. Innovation, especially in terms of NPD, is hard and requires a lot of work and difficult decisions, usually in the face of significant uncertainty. No software can magically do that job for you, but a good tool can help keep track of the process and do some of the heavy lifting for you.

This naturally helps with efficiency which allows innovators to focus more of their efforts on things that will lead to better results, but those results still aren’t a given.

Functionality That Leads to Higher IMS Adoption

The second hypothesis is focused on the functionality provided by the innovation management software, and the impact of said functionality on overall IMS adoption.

To be more specific, the respondents were asked how important they considered each functionality to be for their firm.

Here, Idea Management was the only functionality that had an impact for these firms.

Idea Management was the only functionality that had a significant positive impact for the surveyed firms.

Again, that intuitively makes sense and is well in line with our experience. Idea management is the part that you embed in the organization’s daily processes and use across the organization to make ideation and innovation systematic. And as mentioned, it’s the part that does a lot of the heavy lifting, such as increasing transparency, communication and collecting and analyzing data, that would otherwise take up a lot of time from people running innovation, which naturally helps with efficiency.

So, while Strategy and Product Management capabilities do have their uses, they are not nearly as essential to IMS adoption, or innovation success for that matter.

In our experience, this primarily comes down to the fact that most companies can manage those capabilities just fine even without an IMS. The value-add provided by the software just isn’t nearly as high for most organizations there.

Services That Lead to Higher IMS Adoption

The third and final hypothesis focused on the importance of the services offered by IMS vendors for the respective firms.

Here the spectrum covered consulting, training, customer support, customizations, as well as software updates and upgrades.

Here, the only factor that made a positive difference for the respondents was software updated and upgrades. This category includes both minor improvements as well as new functionality for the software.

Interestingly enough, for consulting that relationship was negative. Or as the authors put it, adopters more alienate than appreciate such services.

Software updates and upgrades were the only service with a positive impact, whereas consulting actually had a negative one.

Let’s first cover the updates and upgrades as that is probably something everyone agrees on.

Good software obviously evolved quickly and as most companies have embraced the Software as a Service (SaaS) model, they’ve come to expect frequent bug fixes, usability and performance improvements, and even new features for free. Over the lifetime of the product, these make a huge difference.

Thus, most understand that you should choose a vendor that is committed and capable of delivering a frequent stream of updates and new capabilities.

Let’s then move on to consulting and discuss why it is detrimental to adoption.

While we’ve always kept professional services to a minimum at Viima, this still came as a bit of a surprise for me. As I’ve raised this point up in discussions with a couple of people in the industry, that do offer such services, they seem to respond with varying degrees of denial, dismissal, and perhaps even a hint of outrage. When such emotions are at play, it’s always a good time for an innovator to lean in and dig a bit deeper, so let’s do that!

Looking at this from the point of view of the customer, there are a few obvious problems:

  • Misaligned incentives
  • … which leads to focusing on the wrong issues
  • Lack of ownership

Each of these could be discussed in length, but let’s focus on covering the keys here.

First, it’s important to understand that every software company makes most of their profits from software licenses. Thus, while generally speaking modern SaaS models do incentivize the vendor to make you successful, that isn’t the whole picture. The focus is actually on keeping the customer using the software. With the right product, that will lead to good outcomes, but that isn’t necessarily always the case.

However, when you add consulting to the mix, it’s only natural that it focuses primarily on the usage of the software because that’s what they know best, and what’s also in their best interest.

And, while making the most out of the software is important, it’s usually not the biggest challenge organizations have with their innovation efforts. In our experience, these are usually in topics such as organizational structure, resource allocation, talent, culture, as well as leadership buy-in and understanding.

And, even if the vendor would focus more on some of these real challenges the customer has, they rarely are the best experts in these matters due to their experience coming from matters related to the product.

Advice on Innovation Management

Now, once you have a consultant come in, you of course want to listen to them. However, a consultant’s job is to give advice, it isn’t to get to the outcomes you want or need, and there’s a big difference there. That is one of the fundamental challenges in using consultants in general, and a big reason for why many don’t like to use them for long-term issues that are core to your future success, such as innovation.

Having said that, if you do use consultants, you can’t lose track of the fact you still need to take ownership for delivering those results. The consultant might be able to help you with that, or they might not. It’s still your job to make the decisions and execute on the chosen plan.

Put together, these reasons are also why we have been reluctant to do much consulting for our customers. We simply think the customer is best served by taking ownership of these matters themselves. We do, on the other hand, seek to provide them with the information, materials and advice they might need in navigating some of these decisions – with no additional cost through channels such as this blog and our online coaching program.

How do these findings relate to wider IMS trends?

Now that we’ve covered the key findings, let’s discuss how these are present in the wider trends within the Innovation Management Software industry.

In addition to what we hear in our discussions with customers and prospects, we’ve also discussed the topic quite extensively with industry analysts and would break these down into a few main trends.

Focus on enterprise-wide innovation

One of the big trends we see is that more and more companies are following in the footsteps of the giants like Tesla, Amazon, Apple and Google, and are moving innovation from separate silos to become more of a decentralized organization-wide effort.

This isn’t always necessary for pure NPD performance, which is what the study was focused on, but it is certainly key for scaling innovation in general, and one where efficient idea management can play a key role.

Once you embark on that journey, you’ll realize that your innovation team will initially be spread very thin. In that situation, it’s especially important to have easy-to-use tools that can empower people across the organization and improve efficiency.

Simultaneous need for ease of use and flexibility

That enterprise-wide innovation trend is also a big driver for the importance of intuitiveness, ease of use, and flexibility becoming more important.

In the past, you could have an innovation management software that is configured to match your stage-gate process for NPD. You might still need that, but it’s no longer enough. You probably want more agile processes for some of your innovation efforts, and more lightweight ones for some of the more incremental innovation many business units need to focus on.

If people across the organization don’t know how to use the software, or require extensive training to do so, you’ll face an uphill battle. What’s more, if you need to call the vendor whenever you need to make a change to the system, you’re in trouble. Top innovators often run dozens or even hundreds of different simultaneous innovation processes in different parts of the organization, so that quickly becomes very tedious and expensive.

Reducing operational complexity and costs

A big consideration for many is the operational complexity and running costs associated in running and managing their infrastructure and operations.

Extensive configuration work and on-premises installations significantly add to both of these, so even though they can be tempting for some organizations, the costs do pile up a lot over time, especially since it requires a lot more attention from your support functions like IT to manage.

What’s more, if you want to make changes or integrate these systems with new ones you may introduce, typically you only have one option: you need to turn to your IMS vendor.

As IMS tools have matured and off-the-shelf SaaS services have become much more capable, the compromises in increased rigidity, complexity and running costs, as well as less frequent updates are no longer worth it and off-the-shelf SaaS is now the way to go for almost everyone. With SaaS, you benefit immensely from economies of scale, and you are no longer held captive by the sunk cost fallacy of up-front license payments and extensive configuration and training work.

Commoditization in Idea Management

As the study pointed out, idea management is at the core of most innovation management software. However, in the last decade, the competition in the space has increased a lot.

There are now native SaaS platforms, like Viima, that are able to offer extremely competitive pricing due to efficient operations and a lean organizational structure. This has put a lot of pressure on many vendors to try to differentiate themselves and justify their higher price tags with additional professional services, as well as adjacent products and capabilities.

In our experience, while these might sound good on paper, they aren’t often leading to more value in real life, and the respondents of this study would seem to concur.

Conclusion

So, to conclude, what did we learn from the research?

In a nutshell, no innovation management software or vendor will miraculously turn you into a successful innovator. A good software, however, will help you become more efficient with your innovation efforts, as well as lead to softer benefits such as improvements in communication, knowledge transfer and culture. Put together, these can make your life a lot easier so that you can focus on actually driving results with innovation.

What then should you consider when choosing your innovation management vendor?

Well, the evidence shows that you should focus on idea management, as that’s where the biggest impact on the factors mentioned above come from. And therein, you should focus on vendors that continuously update and evolve their software with the help of modern technology and that has made all the above so easy and intuitive that they don’t need to sell you consulting.

And of course, ask them the tough questions. Ask to test the software in real life. If you can’t, that is a red flag in and of itself. See how flexible and easy-to-use their software really is. Does it require consulting or configuration by the vendor?

This article was originally published in Viima’s blog.

Image credits: Unsplash, Viima

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Five Keys to Doing Good Ethnographic Research

Five Keys to Doing Good Ethnographic Research

GUEST POST from Art Inteligencia

Ethnographic research is a powerful tool for understanding the beliefs, behavior, and culture of a given population or group. It is a powerful tool for gaining insight into the lived experiences of a particular group and can be used to inform policy, decision making, and marketing. Ethnographic research involves observing and recording the social interactions and activities of a particular group in their natural environment. The following are some key tips to help ensure a successful ethnographic research project.

1. Specify Your Objectives

Before embarking on an ethnographic research project, it is important to set out clear objectives. Having a clear goal and objectives will help to ensure that the research is conducted in a focused and productive way. It is also important to consider the time and resources available for the research project, as these will have an impact on the depth and breadth of the research that can be conducted.

2. Choose the Right Location

Choosing the right location is essential when doing an ethnographic research project. The researcher should select a location that is accessible and provides an opportunity to observe the target group in their natural environment. It is also important to ensure that the location is safe and secure, as well as respectful of the privacy of the participants.

3. Develop a Research Plan

Developing a research plan is essential for successful ethnographic research. The research plan should include a timeline for data collection, an assessment of the resources available, and a detailed method for data collection. It is important to consider the ethical implications of the research and to develop a plan for protecting the participants’ rights and privacy.

4. Gather Data

The data gathering stage of an ethnographic research project is arguably the most important. Ethnographic research should involve the collection of both quantitative and qualitative data. This includes gathering data through observation, interviews, and other methods. The researcher should strive to gain a deeper understanding of the target group and their culture through the collection of data.

5. Analyze the Data

Once the data has been collected, it is important to analyze it in order to gain insights into the beliefs, behavior, and culture of the target group. This can be done through a variety of methods, including statistical analysis, content analysis, and thematic analysis. The researcher should strive to draw meaningful conclusions from the data that can inform policy, decision making, and marketing.

Ethnographic research can be an invaluable tool for gaining an understanding of the beliefs, behavior, and culture of a particular group. However, it is important to ensure that a well-thought-out research plan is in place, and that the right data is gathered and analyzed in a meaningful way. Following these tips should help ensure a successful ethnographic research project.

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What is Ethnography?

What is Ethnography?

GUEST POST from Art Inteligencia

Ethnography is an important method of research in the social sciences, used to gain a detailed understanding of groups of people and their cultural practices. It involves the observation of a group’s behavior, language, beliefs, values, and interactions with their environment. Ethnographers often conduct interviews and surveys in order to gain a deeper understanding of their subjects.

The goal of ethnography is to provide an in-depth understanding of the culture of a group of people. This includes looking at the group’s history, language, and material culture, as well as its social and political structures. Ethnographers also examine the group’s rituals, beliefs, and values. By looking closely at the different elements of a culture, ethnographers can develop an understanding of how the group interacts with its environment and with other groups.

An ethnographer’s primary tool is observation. Ethnographers must observe their subjects in their natural environment and take note of their behavior, language, and interactions. They may also conduct interviews and surveys in order to gain a better understanding of the group’s beliefs and values.

Ethnographers need to be aware of their own biases and preconceptions, as these can influence the results of their research. They must also consider the ethical implications of their research and ensure that their subjects are treated with respect.

The primary purpose of ethnography is to gain an understanding of a particular culture and its people. This understanding can be used to inform policy decisions and to improve the lives of the people being studied. Ethnographers may also use their research to create educational materials or works of art.

Ethnography is an invaluable tool for understanding the diversity of cultures around the world. By observing and recording the behavior, beliefs, and values of a group of people, ethnographers can gain an understanding of their culture and how it interacts with its environment. This understanding can be used to inform policy decisions and improve the lives of the people being studied.

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Five Keys to Doing Good Secondary Research

Five Keys to Doing Good Secondary Research

GUEST POST from Art Inteligencia

The success of any research project is determined by the quality of the research conducted. Good secondary research is essential for any research project, as it helps to provide background information, develop hypotheses, and identify gaps in knowledge. Here are some key tips to ensure you’re conducting effective secondary research:

1. Identify a clear research question

Before you start any research, it’s important to have a clear understanding of what you’re looking to learn. Having a clear research question will help to guide your research, and ensure that you’re focusing on the right sources.

2. Choose reliable sources

The quality of your research is only as good as the sources you use. When conducting secondary research, it’s important to use reliable sources such as peer-reviewed journals, government documents, and scholarly books.

3. Consider credibility

As well as using reliable sources, it’s important to consider the credibility of the authors you’re citing. Are they experts in the field? Do they have any biases or conflicts of interest that could affect the quality of their research?

4. Analyze data and trends

Secondary research is all about analyzing existing data and identifying trends. It’s important to assess the data critically, and look for patterns, correlations, and inconsistencies.

5. Draw conclusions

Once you’ve collected and analyzed the data, it’s time to draw conclusions. Make sure to consider all of the evidence you’ve gathered, and draw conclusions that are supported by the data.

By following these tips, you can ensure that your secondary research is of the highest quality. Good secondary research is essential for any research project, and following these key tips will help you to ensure that your research is successful.

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What is an Online Research Panel?

What is an Online Research Panel?

GUEST POST from Art Inteligencia

An online research panel is an online platform that is used to collect data from a specific group of people. This data can be used to gain insights into consumer behavior, market trends, and other types of research. It can be used to gain insights into a variety of topics, such as consumer preferences, product development, and marketing strategies.

While online research panels can be used to gather data from a variety of sources, they are typically used to gather data from a specific group of people. This group is often made up of a panel of individuals who are chosen based on their demographic characteristics, such as age, gender, location, and education level.

Once the panel of individuals has been selected, they are asked to participate in a variety of research activities. These activities can include surveys, interviews, focus groups, and other forms of data collection. This data is then used to gain insights into consumer behavior, market trends, and other research topics.

Online research panels provide a variety of benefits to researchers. First, they can allow researchers to collect data from a large pool of people quickly and easily. This is because the data collection process is automated, which saves the researchers time and effort. Additionally, online research panels can allow researchers to gain access to a wide variety of data sources, which can provide a more comprehensive view of the research topic.

Finally, online research panels can be used to quickly and easily test hypotheses and gather feedback from a variety of sources. This can help researchers develop better insights into their research topic, which can help them make more informed decisions.

Overall, online research panels are a great way for researchers to quickly and easily collect data from a variety of sources. They can provide a comprehensive view of the research topic, allow researchers to quickly and easily test hypotheses, and provide feedback from a variety of sources. For these reasons, online research panels are an invaluable tool for researchers.

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