This article is taken from D/srupt issue 3 (2020-21). View the full magazine here.
At Imperial, we are familiar with scientific experiments taking place in the labs. This is essential to make sure medicines work without adverse side effects, materials are strong enough for construction and new fertilisers do more good than harm.
This evidence-based approach in also essential to building a startup. Failing to test your business idea could result in a lot of time and money wasted. We caught up with David J Bland, co-author of Testing Business Ideas, to find out about the best ways to test, deciding what counts as ‘success’ and knowing when to quit …
We’ve heard before that failure is a big part of entrepreneurship. And whilst many founders can tell you a story or two of when it all goes wrong, there are ways to limit risk. You may have heard the term ‘failing fast’: testing, learning from the results and changing direction when you know it’s not working, before you’ve put too much time or money behind an idea.
David Bland, serial entrepreneur and Silicon Valley stalwart, has made it his mission to use his experience to teach fellow founders about the importance of testing business ideas before you get in too deep. His latest book, Testing Business Ideas, co-written with Swiss business model strategist Alexander Osterwalder, is an experiment library consisting of over 40 illustrated business tests, organised by cost, time and strength of evidence, that guide founders as they build an evidence-backed business ready to scale. David recommends a founder start with quick, easy experiments that are free or cheap, and elicit relatively weak evidence, and then,if the evidence validates their hypothesis, move onto harder, more time- and cash- consuming experiments with stronger evidence.
David learnt the importance of testing business ideas in his early career, which consisted of working with various startups, some more successful than others. One was acquired for $16 million, which, as David describes, was “a pretty decent exit for 2006”. But following this success, David joined a few startups that didn’t go quite so well. “What I learned was that if you blindly ignore the data and keep persevering no matter what, you eventually run out of money. Basically, it doesn’t matter how amazing you think it is, if your customers don’t want it, they don’t want it.”
This realisation sparked David’s journey to help other founders. David went on to work with accelerators and large global companies to encourage an environment of innovation and experimentation where he crossed paths with Alexander Osterwalder, creator of the Business Model Canvas. “All these founders or small innovation teams just weren’t aware of all the different experiments that are available. So, we ended up writing a book. We wanted to help people say, ‘I’m stuck with something. What can I do to help me make progress?”
For founders, the first step to testing a business idea lies in the value proposition and customer segments. David explains: “You need to look for these unmet needs or a way to create something of value that’s different.” One of the most common mistakes entrepreneur make is only making moderate improvements on what’s already out there. Customers are unlikely to change habits for a slight improvement. “It has to be 10 times better,” David says, “and don’t build right away. There’s so much you can learn without building anything.”
One of the biggest pit- falls for startups testing their idea is bias, David explains. “Usually all these biases creep in, like confirmation bias and experimenter’s bias and overconfidence bias. And what happens is, you will run the experiment, but then you only look for the data that proves what you want it to already do.” David says the one thing he wishes he’d known starting out was: “to have strong opinions held loosely. So this idea of having an opinion but be open to the idea of being wrong and adjusting accordingly.”
Once you have your value proposition and customer segment defined, David explains that the next step is assumptions mapping: “The flow I typically follow is to sketch out your strategy. Write down your assumptions map and then run experiments on the really big things that if proven wrong, would cause everything else to fail.” Assumptions are often where the biggest risks lie, so finding tests that can prove or disprove them is vital. “There’s all kinds of ways we can get in front of customers. It could be interviews or landing pages or surveys, but there’s so much more than that. You can do paper prototyping or a clickable mock-up or even 3D printing. There are all these different tools you can use to learn and generate evidence that don’t require building hardware or software.”
The varying experiments in David’s book not only allow entrepreneurs to test the viability of their idea, but also the feasibility of running their business model. An example David gives is: “There’s always machine learning startups that struggle to hire data scientists. That’s a big risk that’s on the back end of your startup if you’re trying to do machine learning and you don’t have any data scientists. Your risk isn’t the customer there. It’s the backstage, the functioning. You also need to test onboarding people. How do you attract talent? How do you run the infrastructure? Key partners? Or test out pricing? It’s more than just customer. Customer is important, but there’s much more to it than that to be successful.”
After testing all these aspects of your business, a decision needs to be made as to whether you move forward, iterate or pivot, based on the success of the tests. David advises writing down what you’re going to measure and the success criteria prior to conducting the test. Always be ambitious, he counsels. “If we’re working on something new, you don’t want to barely succeed, you want to challenge yourselves, so I tend to set the criteria somewhat high.”
Even with numerous successful business tests, taking the leap can be daunting. David says it’s important to remember: “Don’t get too excited if one experiment succeeds, and don’t get too depressed if it fails. Usually I run various tests for about 12 weeks
at least before making that decision. Twelve weeks is kind of arbitrary, I admit. But I feel like that’s enough, that if you’ve tested one thing every week for 12 weeks and there’s just nothing there then you should probably rethink your strategy. If you’ve tested for 12 weeks and you’re onto something and have traction, then that could help you make that decision to take the leap.”
Despite the obvious benefits to continued testing, big corporates are unlikely to have a culture of experimentation if no longer run by the founders: “They get in this mindset of just execute business as usual.” Despite this, a few large companies have found ways to test new products without risking their brands’ reputation: “You have to think about how to create the ‘new thing’, so the teams I work with and I’ve observed, will do something like lightly branded, or off brand, or a labs brand. If you go to Indiegogo and scroll through it, you’ll see a lot of corporate ideas that are on Indiegogo right now, it’s pretty interesting.”
One example of this is a well-known software company in San Francisco, USA, which David has worked with to launch
new products: “I’ve helped launch some of their new mobile apps, and I felt like they did a great job of throwing a team together that’s dedicated at something, testing it off brand, seeing if it works, and then bringing it on brand, which I thought
was very smart. If they launched something with their brand that’s not polished, they’ll get a lot of press really quickly on it. There’s all kinds of cool stuff happening, it really comes because it’ll take three to five years to really help it start to stick and
in the startup that’s like dog years.”
For startups and large companies alike, one concern when testing is protecting your idea and IP. David agrees that this can be a risk: “It’s a challenge. Sometimes we have people sign disclosures or an NDA to test with us. They’re all these sites where people want to launch and test ideas like Product Hunt. But if you launch something on there that you’re not quite ready to run with there are a lot of other hungry entrepreneurs scrolling that list. So you do have to balance it. But there’s a lot you can test without exposing all your IP.”
The most successful businesses have always been based on evidence. Evidence that their customers want the product or service, evidence your company infrastructure will work and evidence of your value proposition. So, run experiments. Use experience in research to validate your business idea, and remember: “be open to the idea of being wrong and adjusting accordingly”.
David’s book, Testing Business Ideas, is available from the Enterprise Lab Library and on Amazon.
This article is taken from D/srupt issue 3 (2020-21). View the full magazine here.