Tag: Management

Leadership – What makes a great leader?

Leadership is something that I am really passionate about – and reading articles to help me to be a better leader is hugely important and I just read an article on LinkedIn entitled Great Leadership Starts and Ends with This which really resonated with me.

The Best Leadership Advice EverI was struggling to engage the audience. Okay, forget struggling — I was dying onstage. Maybe I was having an off day. Maybe they were having an off day.

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In short, Jeff Haden (the article’s writer) was talking in front of a number of CEOs and senior managers and out of the blue asked them what makes a great leader.

Not expecting any response from them, one of the CEOs chirped up with No one cares how much you know until they first know how much you care about them.

He went on to explain that you can convey to employees what the company strategy, vision and goals are and they might care for a short period of time, but they will then go back to what they normally do. It doesn’t resonate with them and doesn’t necessarily change their behaviours.

Only when a leader demonstrates their passion and how much they care about their employees will it really make a difference. He went on to say:

“We can try to communicate and engage and connect all we want but no one really listens. They just smile and nod and go back to doing their jobs the way they always do.

“Our employees don’t really care about what we want them to do until they know how much we care about them. When employees know — truly know — that you care about them, then they will care about you. And when they know you care, then they will listen to you… and then they will do anything for you.”

This really resonated with me. I have had a few different managers in my time and by far the best one was the one who cared about me and my career. Others who have either just barked orders or dictated what needed to be done and how didn’t inspire me or motivate me.

A great leader trusts their employees

It was under this manager who cared that I really progressed through the company. I completely bought into his strategy, which in turn allowed my team to buy into it as well. I learned that you need to nurture a good working environment and build up a level of trust to really engage with your employees and for them to engage with the business.

This really is the only other point I would make on this. Not only does a great leader care about their employees, they also trust them. Great employees are able to make decisions, try new things, feel comfortable to fail and learn from their mistakes.

My recipe: Great leaders create great employees which in turn makes these leaders even better – repeat.

I know that there is a lot more to it than this, but I felt that this article was worth highlighting as it gave a slightly different, tangible and achievable example of great leadership.

What is Validated Learning and how can it be applied to Kanban?

I’ve been reading the Lean Startup by Eric Ries and he has introduced me to the concept of Validated Learning. Validated Learning is the practise of effectively measuring the accuracy of assumptions and using the results of the Validation to understand whether the assumption was correct and if so, continue onto the next test. If not, decide whether your strategy, assumption or feature needs to be improved or to change direction.

The main thing that I found interesting was an example of how this could be integrated with Kanban, a practise that I am an avid user of since launching Mousebreaker.com in 2008.

The example spoke of the founder of Grockit, an online teaching site that enables students to learn either socially with other students online or individually. They assumed that a user story was not actually delivered until it had been confirmed as a success through measurement of Validated Learning.

In addition, the feature is aligned to the product’s strategy and therefore had a set of assumptions associated with it. The process of Validated Learning either proves or denies the assumptions.

If it is found that a feature has not been a success and actually improved the product, then that product is removed. In addition, the feature is aligned to the product’s strategy and therefore had a set of assumptions associated with it. The process of Validated Learning either proves or denies the assumptions.

In the example, Grockit uses A/B Testing and cohort analysis to validate the success of the feature being delivered by the development team.

A/B testing allows you to test different versions of pages or parts of pages to different proportions of your users to test a metric such as registrations or visits to sections of your site – although you can measure much more than this. You can then determine which version works best and then make the winner available for all users.

Cohort analysis is very similar but takes place a step before the A/B Testing. You may use a number of different marketing channels using a number of different messages, for example. Each user that comes from one type of channel/message would be associated with that channel/message and then tracked throughout their lifetime on your product. This would allow you to understand the cohort group’s lifetime value for example, so that you can understand the value of those messages or that channel.

You can use each of these methods exclusively or together and measure against the metrics that matter to your business. What you are looking for is actionable data, something that up you can make a decision on or understand the value of a change.

I really like this concept; however it does seem to go against the basic principles of Kanban. Kanban is an agile methodology that is used, partially, to eliminate waste during the build process of a product through practises such as limiting work in progress and kaizen – the constant improvement of the process.

My question is whether removing a feature that is not deemed a success as wastage; and if it is, could that have been avoided?

Whenever I have built a web site and we have launched a new feature, we have measured and iterated based on the data collected until it has worked – a form of validated learning. Only, of a feature has not worked, I have seldom, if ever, removed this feature. My main thought on this is that it would have been a waste of the time to develop the user story.

Perhaps I would have removed the feature if it had a detrimental effect on the metrics used to validate the functionality.

I would be happy to do this as long as it informed decision making in the future. This is what Eric Ries is arguing. A user story or feature that is being developed is actually a test of a theory or an assumption. You are assuming that this new feature will improve the product and will improve a core measurement to your business.

If it does not do this, why keep this feature live? If it does not deliver enough improvement, then why keep it live? As long as these lessons learned helps to change the strategy or assumptions around your business, you should be able to reduce wastage as your strategy should be directly influenced by validated learning through the use of your product.

I really like this concept and will keep this in mind when I next get the opportunity. I will definitely be posting about it once I have some personal evidence of this in practice.

Please comment if you have used Validated Learning in practise and how you have found it in the comments below.