6 Learnings for Innovation in Bigger Organizations

Discover key insights for driving innovation in larger organizations and learn how to effectively confront the truth, manage inputs and outputs, conduct experiments, prioritize the end-user, and implement an innovation system.

Old architecture and new architecture divided diagonally by a line.

Here are 6 learnings about innovation within bigger organisations that could help you:

🧐 1. Always confront yourself with the radical truth.

The sooner, the better.

⚙️ 2. Manage your inputs and track your outputs.

Don't try to fix things out of your control; instead, focus on what you can do to reach results.

Examples of inputs:

  • Post something online every day
  • Interview 10 people in the problem discovery phase
  • Reach out to one potential customer every day

Examples of outputs:

  • Amount of revenue in a quarter
  • Number of visitors to your website
  • Validation of your value proposition.

🧪 3. When you employ experiments to learn more about your value proposition, define your sample size and stick to it.

Too often, experiments are stopped because the first two results are not in line with your assumption.

If you want to talk to 10 potential customers, talk to 10, not 3 and stop the experiment.

If you made the assumption, you could close one deal after reaching out to 100 people. Reach out to 100, don't stop at 20.

🐘 4. Don't try to validate your go-to-market strategy in just one experiment.

It's too big of an experiment. Work like a painter or music producer, layer for layer.

The experiments will compound and give you a better picture of how your go-to-market strategy works.

🙊 5. Always put your end-user first.

Not internal politics; it's the end-user that you need to focus on. Customers and end-users will drive the success of your proposition. Use the (little) victories to inspire and manage your stakeholders.

🚨 6. Put an innovation system in place so you don't discuss "how" you innovate but use the valuable time to interpret "what" to do with all the data found in the experiments.