Berlin

November 4 & 5, 2024

New York

September 4 & 5, 2024

London

June 16 & 17, 2025

Concise and effective feedback: Applying the learnings of DORA4 to communication

David LaMothe discusses a model much like the DORA4 model, except instead of focusing on metrics like time to merge and rate of recovery, focusing on personally developed metrics for feedback that ensures he is giving it early and often.

Register or log in to access this video

Create an account to access our free engineering leadership content, free online events and to receive our weekly email newsletter. We will also keep you up to date with LeadDev events.

Register with google

We have linked your account and just need a few more details to complete your registration:

Terms and conditions

 

 

Enter your email address to reset your password.

 

A link has been emailed to you - check your inbox.



Don't have an account? Click here to register
December 20, 2022

Feedback is a complicated subject that we as a community spend a lot of time thinking about. Much of this thought is focused on the how of feedback, both giving feedback and receiving. While these are both essential topics to discuss, one thing that gets left out of the discussion is how often we give it.

In her landmark book Accelerate, Nicole Forgsen describes the DORA4 metrics, which represent four different metrics that calculate the performance of a software development team. The ultimate goal of these four metrics is to make changes small, manageable, and frequent so that when things go well, you build more momentum, and when things go wrong, you can correct the mistakes quicker.

I believe this fundamental philosophy can also be applied to feedback, where giving it early and often is the best way to achieve a sustainable, healthy, and evolutionary feedback culture. 

You might have 1:1s, quarterly, and yearly reviews where you regularly give feedback to your reports, but I would argue this is not often enough. In a healthy feedback culture, people should be giving and receiving feedback almost every day. Applying these simple metrics will avoid the need for the big-bang feedbacks everyone dreads giving. Instead, you will foster a culture of constant corrections and adaptations that good feedback provides.

In this talk, I will propose a model much like the DORA4 model, except instead of focusing on metrics like time to merge and rate of recovery, I will focus on my personally developed metrics for feedback that ensure I am giving it early and often.