Scaling value while also scaling variability

Scaling a business, we’re told, is about establishing processes, procedures and workflows, to ensure that the value that you created when you were small persists as you grow. The goal being to ensure that every experience your new customers have is of the same value as the experiences your early customers had. To do so, it seems, you have to eliminate variability to prevent substandard customer experiences.

But variability drives innovation. Without random variation, single celled organisms never evolve into human beings, and nobody even has the luxury of thinking about scale. Variability is the singular engine driving adaptation, growth, and increasingly, in the rapidly changing world we live in, survival.

So can we scale both value and variability? Should we?

You simply can’t replicate the chaos that permeates an early stage startup as a company grows, and you shouldn’t want to. We all have enough grey hairs from that time. But if we convince ourselves that there is a “right way”, then our teams will hew ever closer to that. Then, innovation stops, people get caught up in dogma, and the company struggles to meet evolving expectations in a dynamic market.

Even though everyone in the company is doing everything “right.”

What if we aimed instead to scale not only the value creation that we cultivated at a small size, but also the variability that helped us find that value creation in the first place?

As an example, what if instead of a “right way”, we instead scaled a “default way” for our teams (HT: Aaron Dignan), while also giving them autonomy to deviate if it made sense? If we did this, our teams could do what had been proven effective in the past, but they could also change things if they thought it was for the better. They might be wrong, or they might be right, but either way the organization would be smarter having conducted the experiment.

Might we be able, this way, to scale customer experiences better than the ones we first had success with?

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