The Visionary Lab
Everything goes, nothing is required. Until the money runs out.
An experimental culture where innovation, autonomy and speed take centre stage. Hierarchy is minimal. Mistakes are expected and accepted.
What is the Visionary Lab?
The Visionary Lab is the culture of the innovator. Here people experiment, test, fail and start again. Rules are suggestions. Hierarchy is a dirty word. Everyone can try anything. In a tech startup this is the natural state. But on a construction site or in a factory this is dangerous. If everyone picks their own method, you get chaos instead of innovation. In the transport sector this means drivers plan their own routes without coordination. The Visionary Lab works fantastically when launching a new product. It works disastrously when you need reliability. The energy is high, the direction is unclear, and budgets are regularly exceeded because every new idea gets priority.
Where do you recognise this?
Startups in manufacturing testing new production methods
R&D departments of larger industrial companies
Renovation companies experimenting with sustainable building materials
Young installation companies working with new technology
Do you recognise this?
Check what you recognise in your organisation.
Strengths
- Rapid adoption of new technology and methods
- High creativity and problem solving ability
- Attracts enterprising people who take ownership
- Can quickly respond to changing market conditions
Blind spots
- Projects are started but not finished
- Lack of structure makes scaling impossible
- People get exhausted from constant change
- Quality control is seen as a brake on innovation
- Knowledge disappears because nothing is documented
How to move toward a Visionary Lab?
Create safe space to experiment. That starts with leaders explicitly saying mistakes are allowed, as long as you learn from them. Give teams time to work on new ideas: an innovation day per month, a small budget for experiments. Reward the trying, not just the result. But also build a mechanism to evaluate experiments and stop them when they don't work. Otherwise you burn through your budget without results.
Compare these examples with your own experience at work.
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