Archive for May, 2011
Innovation Lessons from the Startup Genome Report
Posted by Tim in business models, innovation strategy on 31 May 2011
Steve Blank wrote an interesting post today on the Startup Genome Project. The report is based on a survey of 663 startups. All of them are web-based businesses, and they are all early in their lifecycle. The objective of the study is to determine what factors drive startup success, and the report draws some interesting conclusions.

You can read the executive summary and also download the report through this page.
Several of the drivers of success jumped out at me as particularly interesting. While many of the conclusions are specific to startups, some of the ideas apply to anyone trying to execute innovation. Here are some of the highlights:
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Listening is an essential part of innovating: here is how they summarise these findings:
We examined whether founders learned in the following ways:
- a) Learning from best practice
Companies that follow startup thought leaders like Steve Blank, Paul Graham,etc. are 80% more likely to raise money. Almost all companies that raised moneyhad helpful mentors. Companies without helpful mentors almost always failed toraise funding. - b) Ability to listen to customer feedback
Companies that are tracking metrics average a monthly growth rate that is 7xcompanies that are not tracking metrics and are 60% more likely to raisefunding than companies that don’t track metrics. - c) Ability to act on feedback
Companies that fail to listen and act on feedback tend to scale withoutvalidating the size and interest of the market.
The need to listen is essential in any innovation effort. You need to be sensitive to what the early adopters of your great idea tell you, and you need to be able to respond effectively to what you learn.
- a) Learning from best practice
- Innovators are motivated by a strong sense of purpose: when asked why they started up their firm, 68% said it was to have an impact, 27% wanted to gain experience, and only 5% did it to make money. This is very consistent with Dan Pink’s contention that to motivate creative people you need to give them autonomy, mastery and a sense of purpose. The desire to have an impact is very strong in innovators – much stronger than people usually think.
- The more successful startups change their focus at least once, but not too often: in Silicon Valley language, this is referred to a pivoting – changing the focus of your business model. This is how the report phrases it: “Startups that pivot once or twice times raise 2.5x more money, have 3.6xbetter user growth, and are 52% less likely to scale prematurely than startupsthat pivot more than 2 times or not at all.” Changing focus too much is bad, but so is not changing at all. This relates to the first point about the importance of listening. You usually won’t have your idea exactly right on the first go, so you have to listen in order to figure out how to change. This is consistent with the little bets approach advocated by Peter Sims.
Innovation is a discovery process as much as it’s anything else. The Startup Genome Project shows that this is true for entrepreneurial startups, and it is also true for people trying to innovate in other settings.
43 Rules for Better Leadership
Posted by Tim in book riffs on 26 May 2011
The first major management job that I had started with two crises on the day it was offered to me. I went straight into firefighting mode before I had even officially started the position. The last big management job that I started was almost the exact opposite – I walked into the office on the first day, sat down, looked at the empty desk and thought to myself “what am I supposed to do now?”
In both cases, I could have used the advice contained in 42 Rules for Your New Leadership Role by Pam Fox-Rollin. It’s a very practical book that would be useful for anyone in a leadership role.
There are a couple of things that I like about this book. One is that it breaks down management into a number of key themes – including setting up a strategy, figuring out what’s going in your new role, making a positive impact quickly, developing a management system, learning, and encouraging growth within your team.
The last point is the other thing that I like about the book – Fox-Rollin talks about the importance of providing support when you’re in a leadership role. I believe that managing is more about removing obstacles for your team than it is about directing people, and the book seems to be reasonably well aligned with this belief (Fox-Rollin expands on the importance of getting everyone on your team to lead in this interview with Nilofer Merchant).
Here is what she says about learning from mistakes – a critical skill in innovation:
Remember your team will be looking to you, especially the first couple of times things go wrong. If you stay focused on serving your customer and improving the system, you’re teaching your team what to do. If you hide problems, shade truth, and lay blame, expect more of the same.
…
When a problem arises, reach out right away – to your team members, customers. Express your commitment to making things right, then fire up your curiosity and interview people as if for a case study. Save any non-urgent fixes until you and your team have developed a solid picture of the factors that contributed to the problem; consider faulty processes, limited frames of thinking, poor information, overly-simplistic metrics and incentives, even your lack of experience in picking up early signs of trouble.
Repair the short-term damage, share the learnings across the team, and improve your processes. You leave the screw-up with processes and team stronger than before. Onward!
In addition to Fox-Rollins 42 rules, I would add one more:
Plan Your Change Agenda and Figure Out How Much Scope for Action You Have.
In other words, figure out how much you can get away with.
Every new manager has some mandate for change – it can be big or small. And every one has some ability to implement ideas in order to test out what does work and what doesn’t. Figure out how to take advantage of these two things.
Your best chance to innovate in a new position is at the start of it. Don’t get too flustered by crises, or too intimidated by the big empty desk – these will both distract you from making that early impact.
All managers need to innovate – it’s how we get things to change. So develop an innovation plan for your new leadership role as well.
The Innovation Filter Bubble
Posted by Tim in book riffs, connect, filter, networks on 25 May 2011
Here is a must-watch video from Eli Pariser discussing some of the themes from his new book The Filter Bubble (reviewed well here by Cory Doctorow). It’s only 9 minutes, and it is well worth your time:
Pariser’s main point is that the primary filters on the internet these days are algorithmic, and that these filters have a strong tendency to only expose you to viewpoints that reinforce whatever you currently think.
This is very important for how we use the internet, but it also has huge implications for innovation as well. I think that many of us work inside of an innovation filter bubble, and that this makes it much harder for us to innovate.
What is an innovation filter bubble? It is all of the habits and routines that prevent us from being exposed to novel ideas and new points of view. Some of these include:
- The internet filters that Pariser discusses: much of our information comes from the web these days, and as he shows in the talk, this can lead to only running across viewpoints that reinforce our own.
- Who we spend time with: do you always eat lunch with the same people? Or alone? Spending time with people that you know well is great (and we often don’t do enough of this), but at the same time, we usually spend time with these people because they think a lot like us.
- Silos within our organisations: is where you work organised by specialty? Most organisations are. This has benefits in that it makes it easier to find the information that is most relevant to our jobs more easily. Still, this is another form of filtering that reinforces current views.
The end result of the filtering that occurs through these routines is that the information that we are exposed to can become too restricted. As Pariser argues, these filters make it easy to find information that is relevant to the task at hand – and that is what makes them useful. But does access to information that is highly relevant to the task at hand help innovation? Probably not.
Innovation is based on connecting ideas in novel and interesting ways. To do this, we need to run across information that is more than just relevant. We also need information that is important, uncomfortable, challenging, and that reflects other points of view.
We have to make a conscious effort to break out of our innovation filter bubble.
How can we do this? Here are some ideas:
- Actively seek out new and different viewpoints: Ethan Zuckerman has some great ideas about how to do this on the internet. But also do it in your day to day activities. Once a week have lunch or a coffee with someone with a completely different background, area of expertise, or view of life. Go out and find those challenging ideas somewhere.
- Use filters based on expertise instead of algorithms: as I’ve discussed before, there are at least five forms of filtering. The algorithmic filters are more efficient, but they fall prey to the problems outlined by Pariser. Make better use of expertise-based filters. You can do this by accessing people with expertise in different areas, and also by building broad networks and activating them to help you generate new ideas. Algorithms are great, but you still need some people-based filtering as well.
- Encourage enhanced serendipity: this is an idea from Ross Dawson, and it’s also discussed in The Power of Pull. It involves building your networks (both online and personal) to maximize your exposure to new ideas and novel viewpoints. One of my personal rules in this area is that on twitter I always follow people that follow me if they come from outside of Australia, North America or Europe. And I follow nearly all of the people that run into from Europe too. This is one way to run across new viewpoints.
In order to innovate we have to generate new connections between ideas. We can’t do this if all of our routines only expose us to viewpoints that are very similar to our own.
To innovate more effectively, we have to break out of the innovation filter bubble.
Make Little Bets for Innovation Success
Posted by Tim in book riffs, connect, experiments, networks on 22 May 2011
To succeed at innovation, you need to be making a lot of little bets. What are little bets? According to Peter Sims in his excellent book called Little Bets, they are:
A small, affordable action that anyone can take to discover and develop ideas.
Here is a more complete explanation in an interview with Andrew Keen:
When I was in Silicon Valley a couple of weeks ago, there was a huge buzz going around about the book, and I was fortunate enough to hear Peter talk about it at a TEDxBayArea event. Interestingly, two different people who had read the book used almost identical words to describe it – they both said something like: “If you’ve been reading the research there isn’t anything new here, but he pulls it together really well.”
That doesn’t sound like the highest of praise, but it actually illustrates one of the main points of the book perfectly: that ground-breaking ideas don’t always look ground-breaking when they launch, instead, they tend to build up out of a series of experiments. Sims has done a great job of connecting up a bunch of ideas that were already out there in a novel way, and building an important new idea out of them. This is the essence of innovation.
He includes a great quote from Steve Jobs that explains the importance of connecting up ideas:
Creativity is just connecting things. When you ask creative people how the did something, they feel a little guilty because they didn’t really do it, they just saw something. It seemed obvious to them after a while. That’s because they were able to connect experiences they’ve had an synthesize new things. And the reason they were able to do that was that they’ve had more experiences or they have thought more about their experiences than other people… Unfortunately, that’s too rare a commodity. A lot of people in our industry haven’t had very diverse experiences. So they don’t have enough dots to connect, and they end up with very linear solutions without a broad perspective on the problem.
There are several key actions that you can take based on reading this book that will make more innovative, including:
- Focus on what you can afford to lose, rather than what you might gain: This is similar to my suggestion that you do as much as you can get away with. The critical point of little bets is that they are little – so if they don’t work, you don’t lose too much. Don’t try to figure out the net present value of a potential idea based on growth projections in which no one can ever have any confidence. Just find a way to test your idea as quickly and cheaply as possible. This is central to any little bets approach.
- Build as much diversity into your personal network as possible: the best way to make these creative, novel connections between ideas is to have a diversity of experience, and to encounter a diversity of ideas. One great way to accomplish both is to consciously build links with people that don’t think in the same way that you do. Tom Peters sums this up perfectly: Hang out with the freaks. Peters has been making this recommendation for a long time – find the people that are outsiders, that don’t fit, and spend time talking to them. It’s the easiest way to start making novel connections between ideas.
- Don’t expect to have a great big idea come to you in perfect form: the reason that Sims marshalls all of the evidence that he has is to show us that big ideas don’t spring fully-formed from peoples’ minds. Instead, they build over time. As Linus Pauling said, the best way to have a great idea is to have a lot of ideas. The belief that we have to have a great idea in order to start something is a myth, and one of the main ones that Sims is trying to dispel. If you won’t start until you have a great idea, you won’t start. Instead, it is better to execute an idea, any idea, figure out what works, and build from there (he expands on this idea in an excellent interview with Nilofer Merchant).
It’s no coincidence that John and I have used the word “experiment” in 103 different posts on this blog. We keep talking about it because it works, and anyone can do it. To innovate, you need to figure out how much you can get away with (how much can you afford to lose?), figure out how to test an idea within the scope that provides you, learn from your experiment, and build on it.
That’s a little bet.
That’s innovation.
If you want to learn more about the book, here is Sims’ talk as part of the Authors @Google series:
Discovering Gold through Innovation
Posted by Tim in innovation on 19 May 2011
One of the weird trends in spam comments now is that through services like mechanical turk people are getting paid to make marginally relevant comments that link back to some spammy site. This makes getting rid of spam a lot harder. However, while I was running through a recent batch, I ran across a comment that got me thinking (I still trashed it though). It was: “I agree. Ideas really are like commodities now.”
That wasn’t quite the point of the original post, but if you’re getting paid a dime per comment, I guess you don’t put too much thought into it.
But it got me thinking about how I believe that ideas are almost always mischaracterized. At one extreme, people think of ideas like the spammer did – as commodities. At the other, they think of them as a highly-desirable end product. Both views are mistaken. If you think of ideas as commodities, you won’t invest enough in getting better ideas. But if you view them as the end product, then you make the mistake of believing that innovation is all about ideas.
The mistake that both views make is to view ideas as an end product of innovation, rather than as an input. Here’s a better way to think about ideas:
Ideas are potential.
Instead of thinking of ideas as gold (or a commodity), think of ideas as a mining claim.
Innovation is a process. If you have a bunch of ideas and think you’re innovating, it is just like holding a mining claim and thinking you’re rich. The value isn’t in the idea – it is in the execution.
The mining claim is like an innovative idea – it is potential. In order to get rich, you want to have the best possible claims, and the best possible ideas. Both are necessary first steps. But there is still a lot of work to do.
An important part of innovating is figuring out which ideas to try out. You can do this through reasoning out which ones are best, or you can experiment to see which ones work. In the same way, on the minesite you have to figure out the best places to dig for gold. Unfortunately, gold isn’t distributed evenly throughout an area. You can find the best spots just through logic, but often your best bet is to experiment (guided by logic). In both cases, we need a good selection process.
Once we’ve done our selecting, then we need to execute. With ideas, we have to figure out how to make the ones we’ve selected work. We have to figure out how the idea fits in to the network of the economy, and we have to get the idea to spread. Being great at execution can make up for not being as good at generating ideas. If you can’t execute, it doesn’t matter how great your ideas are.
It’s the same with gold. Once you find the place to look, you need a good method for getting it out of the ground. And again, being great at execution can make up for not being as good at finding the best spots.
In mining, to get a lot of gold you have to stake a claim, you have to find the best places look within your stake, and you have to get the gold out of the ground. It’s a process. The mining claim doesn’t make you rich, it just makes you potentially rich. To actually get rich, you have to be good at the entire process.
It’s the same with innovation. You have to be able to generate great ideas, you have be able to select the best ones and then execute them, and you have to get the ideas to spread. The ideas don’t make you innovative, they just make you potentially innovative. To actually innovate, you have to be good at the entire process.
(Mining claim photo from flickr/SkyTruth, gold panning and gold flake photos from flickr/VisitSweden, all under Creative Commons Licenses)
The Thorny Problem of Tax Breaks for R&D
Posted by John in innovation on 17 May 2011
Innovation is a complex process and I’m always sceptical about simple solutions to encourage companies to be more innovative. Recently I have written about some evidence against the widely-held assumption that creating industry clusters will make firms in these clusters more innovative. It turns out the the relationship between industry clusters and innovation depends a lot more on the type of industry and where you are located. In other words, the belief that clusters = innovation breaks down when you look at why successful industry clusters form and what distinguishes them from unsuccessful clusters.
Another simplistic assumption is that tax refunds for R&D investments will make firms do more R&D and therefore be more innovative. At face value this seems like a reasonable assumption but someone with a more cynical mind might say that this will just result in business trying to classify more activities as R&D, and this is where a simple idea gets very tricky to implement. Many countries offer tax incentives for R&D investments but classifiying what R&D is compared to other types of business improvement is a serious difficulty.
In a provocative report for the Australian Business Foundation, Dr. Nicholas Gruen highlights the problems associated with legislators and courts deciding on definitions for innovation and R&D. These definitions are a problem and Gruen discusses the merits of a simpler definition of R&D. Under the new Australian legislation the focus is on R&D as experimental work that is different from production activities. As a case in point, his report uses the example of a mining business that is using new structural supports to support tunneling. Although there are a range of experiments to test and develop the supports, they do not count as tax deductable R&D because the tunneling would have happened anyway. On the other hand, if the experiments were conducted in a disused mine then they would be eligible for the tax concession.
Gruen points out that this definition of R&D as scientific experiment has a significant bias against process innovations – an extremely important form of innovation (think of the Toyota production methods).
…if production is part of an R&D project, one can argue that there is no purely logical reason for clawing back revenue from production… For process innovation is as important as product innovation, and process innovation must often be done on ‘live’ production which therefore produces the output that can be sold.
I’d extend that argument to two more categories of innovation in services and business models. In advanced economies, services consitute the majority of business activity and yet services experiments are almost impossible to disentangle from business activities (although maybe we can think about service experiments in Second Life). A 2005 report from the Australian Bureau of Statistics also found that nearly 1 in 4 businesses that reported innovation also engaged in a combination of product, service and process innovation.
This makes sense to me because it implies the importance of building a business model around an innovation to make it successful. In a recent report, the Boston Consulting Group has recorded the significance of business model innovation in highly performing firms. As we have said before on this blog, intellectual property – business model = 0 and yet the R&D tax concesssion gives some sort of sacred status to scientific product innovation and pretends that it can be isolated from other forms of innovation that are equally risky but can also create significant value for the business and create beneficial spillover effects in the economy.
I know there are firms that do undertake risky technical projects to create new products and these firms benefit from the tax concession. However, as Gruen points out, reductions in the Australian company tax rate since the 1980s has caused the effective value of the rebate to fall from 24.5 to 7.5 percent. While this reduction has made the scheme affordabe for the government, there is very little evidence that this rate of support does anything to stimulate R&D investments. Most of the R&D that is done and claimed under the tax rebate would have happened anyway.
So there we have it…. R&D tax concessions seem like a good idea at first glance but deeper examination struggles to find a rational case for having them. Should we scrap the program or is there another alternative?
Gruen’s report strongly favours an amendment which would allow loss-making firms to claim a refund rather than writing the R&D tax expense off on tax. Small firms are very dependent on cash flow and the Australian Bureau of Statistics report also shows that these small startups are more likely to engage in ‘new to the world’ innovation.
Changing the rules to help these businesses would be a sensible idea but it still leaves the problem of an R&D definition that is embedded in simple linear models of innovation where scientific discovery gets commercialised to a new product. Real world innovation processes in the 21st century are rarely that simple.
The Problem with Fitting New Ideas Into Old Business Models
Malcolm Gladwell retells the story of the Xerox Palo Alto Research Center in the latest issue of the New Yorker (it’s readable behind a paywall here). The story of PARC is fascinating, and Gladwell provides a nice twist to it. One of the main threads in the story concerns their invention of the laser printer.
Often when we hear about PARC, the moral of the story is that they made a series of unbelievable inventions, and then completely dropped the ball when they tried to commercialise them, failing miserably, and leaving others like Apple and Adobe to make the money from these ideas. Here I am last week with one of these great ideas – that’s the world’s first Ethernet cable – still there at PARC:
In addition to ethernet, people at PARC came up with the graphical user interface, portable document formats, and they greatly advanced the technology of the mouse, invented by Douglas Engelbart. Xerox didn’t make much money off of any of that work.
But they did make a whole heap of money from another great invention – the laser printer. Some of the key quotes in the story explain why this was different. First, Gladwell talks about Gary Starkweather, the guy that came up with the idea for the laser printer. He was highly creative, and he cranked out a lot of ideas – which led to this problem:
… someone had to turn his tap off: the interests of the innovator aren’t perfectly aligned with the interests of the corporation. Starkweather saw ideas on their own merits. Xerox was a multinational corporation, with shareholders, a huge sales force, and a vast corporate customer base, and it needed to consider every new idea within the context of what it already had.
In other words, you have to be able to embed new ideas into the network of the economy. Doing this requires you to break connections that people already have with old ideas. It’s hard for big companies to do this for the reasons Gladwell discusses in the quote. It’s hard for small companies because they don’t have the clout to get their ideas heard in the first place.
This is a big part of what makes innovation hard.
Gladwell then quotes Nathan Myhrvold to expand on this point:
“Xerox did research outside their business model, and when you do that you should be surprised that you have a hard time dealing with it – any more than if some bright guy at Pfizer wrote a word processor. Good luck to Pfizer getting into the word-processing business. Meanwhile, the thing that they invented that was similar to their own business – a really big machine that spit paper out – they made a lot of money on it.” And so they did. Gary Starkweather’s laser printer made billions for Xerox. It paid for every other single project at Xerox PARC, many times over.
This leads to a key point. PARC is still there, and they are still coming up with brilliant ideas. It has actually been an incredibly successful operation for an extended period of time. By focusing on the ideas that didn’t work so well for them, we recreate a myth of innovation – that every idea that we have must work for us to be successful.
One last quote from the story – Gladwell talks about the views of Dean Simonton, a psychologist that studies creativity, who says “Quality is a probabilistic function of quantity.” That’s a fancier way of saying what Linus Pauling said much earlier – “The best way to have a good idea is to have a lot of ideas.”
Myhrvold says that the way to judge an innovative organisation is not by the failures, and not by the ideas they had they couldn’t figure out how to bring to market. Instead, he thinks we should judge them by the ideas that they do actually execute successfully.
By that measure, PARC has been great, just on the basis of the laser printer. It’s not reasonable to expect every idea to work. Ideally, if one of your ideas eventually becomes successful, it would be good to have it happen for you rather than for someone else.
Nevertheless, successful innovation requires mistakes and misfires. If you have enough of those, and, more importantly, if you learn from them, then you’ll also hit on your share of great ideas that work. That’s the real lesson in the story of PARC.
(interestingly, PARC writes about this story today too! They stress the importance of open innovation in getting around some of these problems, which I think is a critical part in this story.)
Am I Allowed? Nilofer Merchant on Innovation
Posted by Tim in connect, innovation strategy on 9 May 2011
Here is an outstanding talk from Nilofer Merchant (and an interesting post about the background to it) – it is well worth your time:
Here are some of the key points that jump out at me in this talk:
- New ideas should change us: One of her first points is that even though people frequently talk about being in favour of innovation, in practice many of these same people actually block it. Why? Because new ideas lead to change, and we often don’t like to change. Do we secretly resist innovation? This is a question that merits serious thought.
I was fortunate enough to talk with Nilofer face-to-face last week. We discussed a variety of things, including management books. She strongly made the point that if we’re going to write things that genuinely have an impact on people, then we should be explicit about how we want them to behave differently after reading these offerings. New ideas should change us, and we should be conscious of this whenever we create, share, or encounter new ideas. And we should be open to this in all of these situations as well.
- The key question that you encounter about innovation is: Am I Allowed Here? Are organisations serious about wanting ideas from people? In many cases, again, there is a gap between the rhetoric and the practice. This relates very strongly with the first point. Seeing the world differently drives innovation. But in many places, seeing the world differently is not welcome – and this contributes to the feeling that you’re not allowed to innovate. Giving yourself permission is often the biggest step you take in becoming innovative. If you’re a manager, supporting people who see the world differently is critical.
- We often filter out ideas that we haven’t encountered before: normal is good, and fitting in is good. At least, that’s what our brain tells us. One consequence of thinking this way is that if we run across an idea that is novel (at least to us), we block it out. This is a problem. A lot of our management practice is designed to reduce variation – to make things more efficient, to eliminate problems, to turn as much of our work as possible into a routine, or an algorithm. But innovation requires increasing variation.
- Ideas grow when they are shared: the last big idea in the talk is that ideas get better when they’re built upon. In order for this to happen, we have to let them go. This again is counterintuitive. Our great ideas are ours, right? Nope.
These are just three of the ways that we block innovation, even if we think we’re in favour of it.
How I’d Like You to Change Your Behaviour After Reading This
Here are some things you can do to address these issues:
- Give yourself permission to innovate, even if you think you’re not allowed to.
- If you’re a manager, find ways to support people that increase the diversity of ideas in your organisation. Don’t just focus on improving efficiency.
- Make a conscious effort to run across new ideas. Subscribe to blogs that you don’t agree with, or that make you mad, and engage with these ideas.
- Let your next idea go. Share it, and see how it grows.
Ideas have power, and great ideas should change how we act. And remember, that’s how we act, collectively.







