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Innovation: Running Experiments and Learning

Experiment DesignIn my last article on Incubating Innovation, we explored the culture and mindset of accountable experimentation. This article focuses on actionable tools and approaches.

Within agile frameworks, the team retrospective is the primary workshop for planning and evaluating experiments. Yet most team retrospectives I see are broken.

Teams spend too much time recording viewpoints and information—but not enough time reviewing or planning experiments. It is common to see the majority of the time spent gathering what went well, what did not go well, and appreciations. Yet where’s the focus on experiments, the learning process and trials for the next iteration?

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Let’s Rewrite the PMBOK

Future PMBOK
Phew, the wait is over! I have been wanting to talk about this for what seems like ages and now the official announcement is out! If you have ever been frustrated by the PMBOK Guide now here’s your chance to fix it.

We are looking for volunteers to write and review the next edition of the PMBOK Guide. However, this will not be just an update, instead a radical departure from all previous editions aligned with PMI’s new digital transformation strategy. That’s all I can explain for now, but more details will be announced when I can say more.

Meanwhile, we would like people with knowledge of the full value delivery spectrum (waterfall, hybrid, agile, lean, etc.) to participate.

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Incubating Innovation

InnovationIf success goes to those who can innovate the fastest, how do we nurture innovation? The basics are simple to understand—but difficult to implement and stick with in the face of adversity. We need to create an environment that encourages experimentation while also tolerating, investigating and learning from the inevitable failures.

It may sound easy, but executives and shareholders demand results, not “learning opportunities.” We need an approach that fosters experimentation and learning in a defendable way, with a bias for results. To innovate faster than our competitors, we need to maximize our learning potential. This means that by design, 50% of our experiments should fail since we are seeking knowledge expansion, not validation of things we already know. The trick is keeping people engaged and motivated when half of their experiment time is spent failing.

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Review of Product Development Books

Product Development CycleNow that a software “Done” Milestone is more like a Tombstone

If you work in an industry that has digital products and services then the Product Development trend will impact you. As software becomes more critical to business operations and product offerings we are seeing that software projects do not end.

Many organizations are transitioning to become software focussed organizations that offer specialized services. Amazon is a software company with retail (and cloud) offerings. Banks are increasingly digital companies with financial services. The same with insurance, travel, music and even commercial goods. The cost of developing the software in new vehicles is now greater than the cost of the engine. It has become the single most expensive component, even in internal combustion engine vehicles with no autonomous driving features.

These websites and software services will only be “done” development when the company stops being competitive, offering new services or keeping up with technology evolution. At one time getting to "Done" on your software project was a relief, a goal, a milestone, now it is more of a tombstone. It means the product is no longer competing or actively being maintained as technology continues to evolve.

Switching from projects (that are temporary in nature) to products that are designed to be ongoing sounds easy enough - just keep funding the team, but for many organizations it is not that simple. Also, organizations that embrace the whole digital product view still need help governing the ongoing process.

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