T2L

What is T2L?

The T2L metric measures the time between the start of the team and the moment the team has learned from users. The shorter the T2L, the greater the learning speed. This is comparable to traveling from Amsterdam to Brussels. The shorter the travel time, the higher the speed must have been. So by shortening the T2L, the learning speed is increased. By improving the T2L, feedback from end users is retrieved faster and learned from it.

The T2L is the metric to measure the agility of an organization

Why a T2L Metric?

Is enough feedback from users requested and learned from? Self-managing teams need to learn quickly from actual usage. It’s impossible to self-manage if teams know after a year’s time whether they are doing the right thing or not. This can be compared to driving for half an hour blindfolded or as a chef not wanting to know if guests like the food. In a complex, dynamic market, it is crucial that teams know quickly whether they are doing the right work. They have to know whether what they make is still in line with the rapidly changing needs. It is therefore important that the learning loop is completed quickly or in other words to have a high learning speed. The faster, the sooner it becomes clear whether teams are doing the right thing. This gives the teams an excellent responsiveness to respond quickly to unexpected situations. But can this speed be measured? Exactly for this the T2L metric has been developed.

Example calculation 

Getting started with T2L

How can the T2L be taken into practice? First of all, by including this standard in the various weekly and monthly reports of, for example, projects, improvement initiatives, team overviews and action items. This creates much more focus on improving the learning speed.
For this it is useful to promote a lower T2L when making the decisions. By choosing a phased rollout and not doing everything at once, the T2L is already considerably lower. In addition, it is a good indication of the risk for projects: a low T2L means a lower risk. There is quicker feedback from real users, which makes it clearer if a project is feasible and valuable.

 

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