Different kinds of work

Be clear about the complex, disruptive and simple work

Different kinds of work

Here is my default motto for time spent on different kinds of work: 80% on complex and 20% on disruptive.

The complex space involves continuous innovation, while the disruptive space is focused on bleeding-edge invention.

80-90% on the complex:

  • Goal is more clear
  • Problems are complex
  • Iterative innovation on solutions
  • Context matters for decisions
  • Pivot less often
  • Things are productised & scaled
  • It may be considered “boring”

10-20% on the disruptive:

  • Goal and problem is less clear
  • Understanding potential
  • Discover goals, problems & products
  • Solutions can be fringe and inventive
  • Pivot often
  • Critical thinking matters even more
  • Identify practical opportunities
  • Understand limitations
  • MAY generate something actionable
  • Higher chance of failure

0% on the simple:

  • Low complexity
  • Well-understood
  • Best practice
  • Repeatable without context
  • Run the playbook
  • Can be automated
  • Soul-crushing (to me, at least)

The percentages are a personal preference shaped by context and experience. Proportions vary for different people and organisations; nevertheless, the nature of problems changes in each space.

An example might help explain the difference. Integrating a new framework to solve a complex problem could be considered an innovation - it is practical and implementable. Contrast this with cutting-edge research in the latest AI techniques - this is disruptive, and the challenge is to identify scalable products with practical solutions. This is experimental to the extreme.

Some organisations limit innovation and/or disruption to only a fraction of the time (or remove the time altogether). Organisations could suffer consequences if their competitors do the opposite and reap the rewards.

What about the opposite - 80% spent in the disruptive space, with nothing being productised and scaled? Initially, this may be necessary to pivot fast and stay ahead. Eventually, though, a product needs to be defined, built and scaled. Constraints exist for early-stage products - whether you want them or not! It’s futile to try to scale every early-stage opportunity under constant change - data, critical thinking and strategy are required to make the right bets to progress toward scalability.

Is it an anti-pattern to have dedicated roles or teams for disruption or innovation - would everyone else get bored and resentful quickly? Those best placed to evaluate innovations are closest to the execution and ops - their buy-in is critical. However, it does require a shift in mindset towards a more disruptive way of thinking.

I am keen to know how you make this work in your teams and organisations.