ROGER NORTON, CEO at Startup Studio Playlogix.com, looks at what lessons corporates can learn from startups about innovation and what they can do differently to compete better.
Innovation is the new competitive advantage, and large companies are realising that it’s hard to do when culture, processes and mindset don’t support this new way of thinking. Startups, however, are increasingly proving to be great vehicles for creating innovative products as they continue to disrupt markets and outcompete the more entrenched larger and slower companies (until they get acquired at least…).
Acquiring external innovations and merging them into a larger company is an approach that often fails. This is because the dynamics that drive a corporate for things like risk reduction and cost optimisation are totally at odds with the dynamics that have allowed the startup to thrive in the first place. Applying key practices to create the right environment could significantly increase the odds of success.
Firstly, startups are small autonomous teams that work under conditions of extreme uncertainty, searching for a repeatable, scalable business model by being laser-focused on the value that they provide to their customers. There are also many dynamics at play in a startup and an important number of constraints. For example, time and money, and the type of funding startups raise needs constant validation and proof that they’re on a winning track to encourage them to keep experimenting until they are sure (in theory, but in practice, it’s a lot messier…)
To recreate these startup constraints, while removing the big corporate ones, is no simple feat. Here are some tips on what helps that we’ve picked up along the way so far:
1. Run many small projects simultaneously, not a few large ones.
You’re not going to get the best ideas in the beginning (no matter how good you think it is now). Running lots of small experiments allows you to ‘learn how to learn’ faster and increases your odds of finding amazing opportunities. It’s a numbers game – ask any venture capitalist. This approach also allows you to focus your energy and capital on what really matters and leave off the ‘nice to have’ features.
2. Create a safe-to-fail environment.
Running lots of small experiments is a great way to achieve a safe-to-fail environment, but an extra effort should be made to celebrate the failures as these indicate the things that you’ve learnt. It’s also important not to overhype small experiments and create high external expectations. Every project you invalidate early saves you the money you would have previously spent trying to launch it. Fail fast and early.
3. Create cross-functional teams.
Use multi-disciplinary teams from many different areas of expertise and various levels of management. Diverse teams not only bring very unique perspectives to each problem, but they also allow the space for the idea to morph into a bigger opportunity in an adjacent area. Hierarchy bridging teams help allow decisions to be made fast and implemented faster. You need to keep the feedback loops tight.
4. Have a single driver for each project.
If you’re trying to build a startup, you need an ‘entrepreneur’. One person that is involved in every aspect, has all the context and can make decisions really quickly. The buck needs to stop somewhere, and at least one person needs to be 100% focused on making it work. This person also needs to document the project and decisions along the way, something that is critical when needing to report to the traditional business.
5. Have a clear validation path for each project with clear milestones that needs to be followed.
Mapping out clear objectives, what is expected at each stage, what support is available, and what the team should be focusing on at any given time helps create the laser focus on what’s most important. The objectives should also set out time and budget limitations throughout the process (we’ve put together the Lean Iterator process under a Creative Commons license to help with that).
6. Focus on solving a customer’s problem, not on a particular solution.
By trying to build a particular product, it’s not complete until it is, and that means that you can’t learn anything until the end. By focussing on a customer’s problem, you will easily find ways to make improvements early on, and you will learn your way to the best solution. It also means you’re more likely to build something people actually want (this point is covered in detail here).
7. Identify the business unit that will be the custodian if it works and engage them early on.
If it works, then the project is going to need to move onto a department’s balance sheet. Keeping them in the loop of the project from early on will help you build something that makes that process much easier. Find out what their KPIs are and how you might effect them. Understand the corporate governance restrictions that you’re going to have to navigate. This aspect is one of the biggest failures of the “successful” projects that I’ve seen.
8. Define success before you run experiments and review regularly.
Every experiment needs a hypothesis. You need to know what you’re testing for before you start. Clear success criteria help you work out what is most important and is the easiest way to prevent getting distracted on things that don’t matter. It helps you hear the signal in the noise. Research competitors as early as possible to make sure you’re differentiated and keep testing for feasible revenue streams early.
9. Allow anyone in the company the opportunity to try something.
Innovation is not limited to an ‘innovation team’ or a particular level of employee. To build an innovative culture and environment, you need to allow anyone in the organisation to try something, give them the time away from their normal responsibilities they need and not punish them when they go back to their role.
10. Have clear incentives for winners.
Startups are hard. The risk, pressure and energy required to make them work need to be worth the reward. The type of reward will depend greatly on the project, but there should be a rewards framework defined up front. This compensation could be in bonuses, recognition, profit share or something similar.
The bottom line is that in a corporate environment that optimises for cost reduction, failure is seen as a waste. But failure is inevitable when you are trying something that hasn’t been done before. It is better to optimise for ‘maximum learning’- which is how you optimise to come up with new innovations fastest. And we believe that creating startups is just a more reliable way to do this.
Earth 2050: memory chips for kids, telepathy for adults
An astonishing set of predictions for the next 30 years includes a major challenge to the privacy of our thoughts.
Buy 2050, most kids may be fitted with the latest memory boosting implants, and adults will have replaced mobile devices with direct connectivity through brain implants, powered by thought.
These are some of the more dramatic forecasts in Earth 2050, an award-winning, interactive multimedia project that accumulates predictions about social and technological developments for the upcoming 30 years. The aim is to identify global challenges for humanity and possible ways of solving these challenges. The website was launched in 2017 to mark Kaspersky Lab’s 20th birthday. It comprises a rich variety of predictions and future scenarios, covering a wide range of topics.
Recently a number of new contributions have been added to the site. Among them Lord Martin Rees, the UK’s Astronomer Royal, Professor at Cambridge University and former President of the Royal Society; investor and entrepreneur Steven Hoffman, Peter Tatchell, human rights campaigner, along withDmitry Galov, security researcher and Alexey Malanov, malware analyst at Kaspersky Lab.
The new visions for 2050 consider, among other things:
- The replacement of mobile devices with direct connectivity through brain implants, powered by thought – able to upload skills and knowledge in return – and the impact of this on individual consciousness and privacy of thought.
- The ability to transform all life at the genetic level through gene editing.
- The potential impact of mistakes made by advanced machine-learning systems/AI.
- The demise of current political systems and the rise of ‘citizen governments’, where ordinary people are co-opted to approve legislation.
- The end of the techno-industrial age as the world runs out of fossil fuels, leading to economic and environmental devastation.
- The end of industrial-scale meat production, as most people become vegan and meat is cultured from biopsies taken from living, outdoor reared livestock.
The hypothetical prediction for 2050 from Dmitry Galov, security researcher at Kaspersky Lab is as follows: “By 2050, our knowledge of how the brain works, and our ability to enhance or repair it is so advanced that being able to remember everything and learn new things at an outrageous speed has become commonplace. Most kids are fitted with the latest memory boosting implants to support their learning and this makes education easier than it has ever been.
“Brain damage as a result of head injury is easily repaired; memory loss is no longer a medical condition, and people suffering from mental illnesses, such as depression, are quickly cured. The technologies that underpin this have existed in some form since the late 2010s. Memory implants are in fact a natural progression from the connected deep brain stimulation implants of 2018.
“But every technology has another side – a dark side. In 2050, the medical, social and economic impact of memory boosting implants are significant, but they are also vulnerable to exploitation and cyber-abuse. New threats that have appeared in the last decade include the mass manipulation of groups through implanted or erased memories of political events or conflicts, and even the creation of ‘human botnets’.
“These botnets connect people’s brains into a network of agents controlled and operated by cybercriminals, without the knowledge of the victims themselves. Repurposed cyberthreats from previous decades are targeting the memories of world leaders for cyber-espionage, as well as those of celebrities, ordinary people and businesses with the aim of memory theft, deletion of or ‘locking’ of memories (for example, in return for a ransom).
“This landscape is only possible because, in the late 2010s when the technologies began to evolve, the potential future security vulnerabilities were not considered a priority, and the various players: healthcare, security, policy makers and more, didn’t come together to understand and address future risks.”
For more information and the full suite of inspirational and thought-provoking predictions, visit Earth 2050.
Pizoelectrics: Healthcare’s new gymnasts of gadgetry
Healthcare electronics is rapidly deploying for wellness, electroceuticals, and intrusive medical procedures, among other, powered by new technologies. Much of it is trending to diagnostics and treatment on the move, and removing the need for the patient to perform procedures on time.
Instruments become wearables, including electronic skin patches and implants. The IDTechEx Research report, “Piezoelectric Harvesting and Sensing for Healthcare 2019-2029”, notes that sensors should preferably be self-powered, non-poisonous even on disposal, and many need to be biocompatible and even biodegradable.
We need to detect biology, vibration, force, acceleration, stress and linear movement and do imaging. Devices must reject bacteria and be useful in wearables and Internet of Things nodes. Preferably we must move to one device performing multiple tasks.
So is there a gymnast material category that has that awesome versatility?
Piezoelectrics has a good claim. It measures all those parameters. That even includes biosensors where the piezo senses the swelling of a biomolecule recognizing a target analyte. The most important form of self-powered (one material, two functions) piezo sensing is ultrasound imaging, a market growing at 5.1% yearly.
The IDTechEx Research report looks at what comes next, based on global travel and interviewing by its PhD level analysts in 2018 with continuous updates.
Click here to read how Piezo has been reinvented.