The Hypotheses of #wol – #biglearning

Working out loud helps us to learn faster by making our hypotheses explicit.

Hypothesis is one of those words that makes something simple sound elegant & scientific. Many digital practices like experimentation and design thinking push people to work and test from explicit hypotheses. It sounds better than draft or work in progress. Using hypotheses and testing them quickly is a core practice of organisations that leverage big learning approaches.

Working out loud can help you to discover the speed, engagement and agility of explicitly testing ideas as hypotheses with your work colleagues. If you are reluctant to share a draft idea, ask for help to validate a hypothesis that shapes how your idea will advance.

Confirming the underpinnings of your work as you go both brings stakeholders on the journey and also enables you to get to the destination faster. Treat every share as an opportunity to confirm that you are on the right track. You will benefit by making small adaptations now rather than rework later. You will also be helping your organisation to practise big learning.

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