Point: Get quick wins by encouraging small experiments throughout the organization. They’re fast, inexpensive, and reduce the fear of failure.

Story: One of the biggest obstacles to innovation is fear of failure. Rarely do people want to bet their careers or companies on what might — or might not — be the next big thing.  But fear of failure becomes a self-imposed obstacle to success.

As Amazon’s CEO Jeff Bezos says, “Innovation is part and parcel with going down blind alleys. You can’t have one without the other. But every once in a while, you go down an alley and it opens up into this huge, broad avenue. And that’s so satisfying and, from a shareholder’s point of view, so successful, that it makes going down blind alleys worthwhile.”

The key twist isn’t to avoid failure but to avoid high costs from failure.  To reduce those costs, institute and encourage ongoing little experiments throughout your company.  For example, Google does this by testing more than 5000 software changes a year. Amazon does it by continuous A/B testing.  And CEO Scott Cook made experiments common practice at Intuit. In Cook’s experience, 89% of experiments don’t lead to a breakthrough or even to an improvement, but that doesn’t make them a “failure” — the experiments simply provide data on what doesn’t work.

These little bets cost little in terms of time and money. They don’t require weeks of planning; rather, they’re tweaks to an idea that can lead to eventual, substantive breakthroughs.  Ever hear of a company called Odeo? Most people haven’t, because Odeo was a small podcasting company of little distinction until its CEO, Evan Williams, gave employee Jack Dorsey two weeks to develop his idea of a short messaging system. That quick prototype developed into Twitter.

Action

• Don’t use uncertainty of success as a filter — the more you don’t know about your chances, the more you can learn by trying.
• Do consider how you might inexpensively look down a possible avenue to see where it leads.  You might use a A/B testing, co-innovation with a lead customer, or a quick minimum-viable prototype.
• Test fast, test often, but pay attention to the results, especially if the unexpected happens.
• Learn what you can from any failures — not just that the idea failed, but why it failed and what it says about your customers, your markets, or your business environment.
• Use each test of a new avenue to scout for other avenues. Even a blind alley can have a side-passage that leads somewhere wondrous.

For more information:

Dave Gray, The Connected Company

Bloomberg BusinessWeek, “Jeff Bezos: ‘Blind-Alley’ Explorer.”

Peter Sims, Little Bets and “What are Little Bets?“

Point: Fast-cycle experiments let companies create the best product/service offering with the least risk.

Story: At the World Innovation Forum, Scott Cook, co-founder of Intuit, described his company’s culture of high-velocity experimentation. Intuit uses an experiment-driven decision-making process throughout the organization. Rather than expect executives and managers to know all the answers, Intuit uses large numbers of low-cost experiments to test new product, service, and marketing ideas.

To illustrate how high-velocity experimentation works in organizations, Cook described how the concept works in Intuit’s 20-person online TurboTax unit.  In the past, this unit ran about 7 experiments during the annual three-month tax filing season.  Now they run 140 experiments.  Not only do they run more experiments, but they run each experiment on a fast cycle so that they can accumulate results and grow more knowledge during each season. Intuit created a weekly cycle for developing, testing, and analyzing experiments that lets each experiment create new information that feeds into the next set of experiments the next week.

Fast experimentation also improves employees’ sense of engagement and ownership.  In the past when the 20-person team did only seven experiments per year, the average team member might only have one of “their” experiments run once every three years.  But with new high-velocity approach, each employee creates and tests a new idea once every two weeks.

Paradoxially, running more experiments and getting more failures lowers the fear and cost of failure.  When a company runs only a few experiments — and every change or new product really is an experiment — then each experiment matters a lot more to the company and to the employees working on that experiment.  If an employee works for more than a year on a single big experiment, then the failure of that experiment surely has an impact on the employee’s career, even if the company professes to permit failure.  But if an employee works on many quick experiments that steadily improve organizational performance, then the success or failure of individual experiments matters little.

In Intuit’s case, 89% of experiments fail, and yet the online TurboTax unit increased conversions by 50% and successfully created a widely-lauded smartphone app that lets people do their entire tax preparation — from taking photos of tax documents, to automatically putting numbers in the right boxes, to electronically filing their forms — all on a smartphone.  The hundreds of tiny experiments let the TurboTax unit tweak and test many variations to come up with the best offering.

Action

• Trust experiments rather than experts to find the truth in a dynamic and volatile business environment.
• Teach individuals how to perform cheap experiments by finding and testing the key assumptions behind every new idea rather than building one big new product.
• Use large numbers of low-cost experiments to both grow knowledge and improve employee engagement.
• Create an accelerated cycle of experiments to reduce time-to-knowledge and time-to-market.
• Coach executives to become experiment-seekers — to use experimentation as a key decision-making tool.