Measuring is a fundamental part of organizational management. What we measure tends to get done because we focus on what is visible, explainable, and evaluable. But innovation is something completely different from production and improvement work. Innovation is a creative and uncontrollable process that does not grow from measurement but often shrinks from it. Despite this, many organizations try to create security by measuring innovation, with the result that creativity is stifled, risk-taking is reduced, and long-term innovation capacity is impaired.
This article describes why measurement logic clashes head-on with creativity, exploration, and system change, and why attempts to measure innovation often become counterproductive, what pitfalls arise, and what innovation leaders in complex systems need to focus on instead.
Innovation and efficiency are opposing forces
Measuring is efficiency. Measurement has its place in businesses where you want to optimize, standardize, and produce consistent results. But innovation is not about more of the same, but about creating something completely new. Innovation needs a playful, exploratory space where people are allowed to think differently, take risks and try things they don’t know if they work.
When you introduce measurement into this landscape, a problem arises. Efficiency thinking lies like a wet blanket over the creative courage that innovation requires. People start to avoid risks because mistakes affect the outcome. People start to think more about reporting than about idea development. They choose ideas that look good in Excel, not those that have a high level of innovation.
Innovation is more related to art than to production. A musician, artist or designer does not become better by being measured. On the contrary, measurement can make them insecure and conformist. What is not measured does not get done, is replaced in innovation by what cannot be explained and is difficult to measure. When creativity becomes a performance task, a kind of innovation stress arises that inhibits new thinking.
Three pitfalls that show why innovation should not be measured
Overestimation of what innovation measurement can achieve
Many organizations believe that if they start measuring innovation, innovation will occur. In reality, measurement takes time, requires administration, and steals energy from actual creative work. In addition, the belief that measurement will deliver innovation creates a false focus. Innovation is a sensitive process that needs protection from premature judgment. If you push measurement logic in too early, you risk destroying the embryos of radical ideas before they have had time to grow.
Measuring parts but missing the whole
Innovation does not occur in individual activities or delimited projects. It occurs in the totality of collaborations, flows, culture, stakeholders, norms, and conditions. When organizations try to measure innovation, they often end up measuring small parts that say nothing about the whole. They count the number of ideas, the number of workshops, or the number of patent applications, but miss the deeper question of innovativeness, culture, and system change.
This actually shows that innovation as a whole is not measurable at all. The more you try to reduce innovation to measurable fragments, the further away you get from real innovation.
Underestimating the political power of metrics
Decision makers often want to make decisions based on data. But innovation is about the future. By definition, there is no data about the future. This means that trying to create innovation governance based on historical metrics is a mistake. You start doing what gives good numbers rather than what builds the future. Metrics gain political weight that makes organizations avoid investments that do not provide quick returns.
Machiavelli pointed out that nothing is more difficult to undertake than introducing a new order, and that the opposing forces are greatest before the benefits become visible. Adding measurement on top of this process creates obstacles, not help.
You can only measure implementation and scaling, but not the innovation itself
Innovation is the creative leap from the old to the new. This leap involves uncertainty, risk, confusion and exploration. It cannot be measured because there is nothing to measure until the innovation has become concrete.
What can be measured, however, is
- implementation
- scaling
- effects that occur after the innovation has become a solution
This is important to distinguish. Measuring the results of innovation is reasonable. Measuring the creation of innovation often has a negative impact.
Picasso, Mozart and why creativity does not tolerate measurable goals
Few would argue that Picasso would improve by having his paintings graded every week and working towards a KPI of increasing the number of brushstrokes per hour. Mozart would not have become a better composer by being required to write how many bars per month. The same applies to designers who have to navigate intuition, aesthetics and human needs.
Creativity disappears as soon as you start judging it too early. This also applies to innovation work when designs, experiments, prototypes and ideas are judged too harshly, too early or too measurable, creativity is lost.
Innovation height is the only guiding summary measure
There is really only one measure that works in innovation, but it is more of a compass than a KPI.
Innovation height.
The question that governs is:
Does this contribute to raising the height of innovation?
Innovation height is about the degree of new thinking, the potential to create new values and the power to challenge the existing. This measure works because it takes energy, time, courage and creativity to raise the height of innovation. Efficiency and improvement are intuitively good for people. But creating truly innovative steps requires focused, protected and creative time. This is why innovation leaders should focus on height, not quantity.
Why this is important for innovation leaders and system innovation leaders
For an innovation leader, measurement logic is a risk because it steals energy from creativity and increases the pressure on predictability. The innovation leader’s job is to create security for the uncertain. This means protecting ideas from premature evaluation, creating space for playfulness, and driving a mindset that prioritizes height over efficiency.
For a systems innovation leader, the consequences are even greater. Systems innovation occurs in complex networks with many actors where changes are often indirect and slow. It is not possible to measure system change with traditional KPIs without ending up wrong. If you try to simplify complexity, you lose the whole, the dynamics, and the relationships that make systems innovation possible.
Instead, the systems innovation leader needs to create arenas where you capture stories, patterns, and system shifts. It is not about measuring, but about observing, learning, and adapting.
Measure wisely
Innovation and measurement pull in different directions. Measurement creates control, efficiency, and predictability. Innovation requires uncertainty, exploration, and courage. When you try to force innovation into measurement logic, you risk losing what you are trying to create.
The most important thing for innovation leaders and system innovation leaders is to
- protect creativity
- focus on innovation height
- create space for exploration
- dare to move towards a future that still lacks data
For innovation is not what arises from control but what arises from freedom.
How to lead innovation without stifling it with measurement logic
If innovation should not be measured with traditional KPIs, the important question arises what to do instead. Organizations still need to be able to monitor their work, create direction and understand whether they are moving forward. In complex, creative and adaptive processes, other forms of navigation are needed than measurement.
Here we describe five alternative ways to manage and monitor innovation without locking the process into place. These methods are based on learning, reflection, system shifts and qualitative intelligence rather than quantitative indicators.
1. Use innovation height as a compass
Innovation height is the only concept that can guide without steering too tightly. It works because it is about the degree of new thinking, not the number of deliveries.
Innovation height is assessed through questions such as
- Does this challenge the norm?
- Can this create new values?
- Does this change behaviors, structures or logics?
Innovation height creates direction without limiting freedom. It works on ideas, strategies and prototypes alike.
For innovation leaders, this means designing processes where height is rewarded over efficiency. For system innovation leaders, this means focusing on the potential of solutions to change the logic of the system, rather than optimizing parts.
2. Work with lessons learned instead of results
Innovation is created by learning, not by delivery. Therefore, it is more important to gather insights than to follow up on quantities.
Ask the team
- What did we learn?
- What changed our understanding of the problem?
- What pushed our idea in a new direction?
- What assumptions were shattered?
When you follow learning instead of metrics, you create a culture where experimentation and risk-taking are possible even when results are delayed.
System innovation leaders can also gather lessons from multiple actors and see patterns of collective understanding. It is in these patterns that system change begins to take shape.
3. Use narrative monitoring instead of numerical
Stories capture complexity. They can describe qualitative changes that numbers cannot show.
Narrative monitoring involves documenting
- Shifts in mindset
- Co-creation between actors who have not previously collaborated
- Shifts in norms, attitudes or balance of power
- New relationships, arenas or prototypes that arise spontaneously
By following stories, you can see how innovation begins to take shape in the social, cultural and organizational landscape.
This is especially valuable at the system level where change often occurs below the surface before it is visible in structures.
4. Identify and track system shifts
Instead of KPIs, system innovation leaders can identify the small signals that show that a system is in motion.
Examples of system shifts are
- new collaborations that did not exist before
- changed language between actors
- changed priorities in institutions
- increased willingness to invest in new solutions
- shifted norms in the industry
System shifts function as forecasts. They show that something is about to change before it is visible in policy, markets or behaviors.
This does not replace measurement. It replaces the need for measurement.
5. Follow energy, not results
In innovation work, energy is a much more important indicator than data. Energy shows whether people are committed, whether the solution has viability and whether the ideas have momentum.
Follow energy through questions such as
- Where is the driving force?
- Where does friction arise?
- Where does initiative come spontaneously?
- Where do ideas stop?
This helps innovation leaders to strengthen what is alive and dismantle what has lost its vitality.
At the system level, energy can be tracked in networks. Where energy flows, change occurs. Where energy is shut down, there are system blockages.
A new way to manage innovation
Abandoning measurement is not abandoning management. It is changing the management logic.
Instead of numbers, work with
- innovation height
- learning
- narrative
- system shifts
- energy
These are the tools required to lead innovation in complex, adaptive environments where the future is unknown and the new is not yet visible.
Why this is crucial for innovation leaders
Innovation leaders need to create space for creativity and protect processes from premature judgment. By working with innovation height and lessons learned, the leader can provide direction without stifling creativity.
In addition, the innovation leader avoids the measurement trap where time is spent on presentations, reports and indicators instead of on idea development and experimentation.
Why this is critical for system innovation leaders
System innovation is even more sensitive than traditional innovation. It concerns structures, norms, power balances and institutional logic. This cannot be measured, only understood.
The system innovation leader needs
- to be able to stand in uncertainty
- to follow weak signals
- to read cultural shifts
- to identify hubs of energy
- to support emerging relationships
If the leader instead forces system innovation into classic KPIs, the system change will stop before it has even begun.
