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In Innovation, Go Slow to Go Long

A marathon runner's case for treating innovation as a systematic, repeatable process built on preparation, user empathy and hypothesis testing rather than inspiration.

Editorial artwork standing in for this publication; no official cover exists for a journal article.

At a glance

Type

Blog post

Publisher

Spark Launchpad

Year

2023

Read the post at Spark Launchpad

Writing after what he estimates was his twentieth full marathon, Patrick Ng compares innovation to race preparation: the outcome depends on the practice runs. His process runs from identifying urgent problems and why current solutions fall short, to designing a better solution, proving its feasibility and planning how to scale it.

The practice runs are user empathy, exposure to many industries and their constraints, and a growing toolbox of technologies and methods to draw on when a problem appears. He stresses hypothesis testing and observing what people do rather than what they say, with "good enough" defined up front by the impact a team wants to achieve.

Source

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