Executive coaching without data: a promise that is difficult to sustain

By Juan Pablo Ventosa, Member of the Royal European Academy of Doctors. MCC and ACTC Coach by the ICF. Author of Leadership Analytics: Towards Conscious Leadership.

Executive coaching is experiencing a moment of expansion and recognition. More and more organizations are integrating it as a key lever for leadership development. However, in the midst of this growth, an uncomfortable question emerges that the sector itself does not always ask itself with sufficient rigor:

Are we really measuring the impact of what we do?

Because if there is one thing that characterizes the executive environment, it is its orientation to results. And that is where coaching, on too many occasions, continues to move in a diffuse terrain: valuable conversations, yes; relevant insights, too… but with difficulties in translating all this into objective evidence of change.

The risk is clear: without data, coaching loses traction in contexts where the impact must be demonstrable.

This is where the Leadership Analytics approach brings a necessary paradigm shift. It is not a question of turning coaching into a rigid or mechanized process, but of providing it with an additional layer of rigor: moving from “I think it has improved” to “I can demonstrate how it has improved, how and how much”.

Applied to executive coaching, this involves a key shift:
from the exclusive focus on the conversation to the focus on the observable transformation.

And that transformation, if it is real, must be able to be described, tracked, and, to some extent, measured.

What does it really mean to measure in executive coaching?

Measuring is not reducing the complexity of human behavior to simple numbers. To measure is to operationalize change.

In practice, this translates into four essential elements:

• Defining clear behavioral goals
  It is not enough to “improve leadership” or “communicate better”. It is necessary to specify what specific behaviors need to change.
• Identification of talent indicators or metrics
  It is not only about observing what the manager does, but what he achieves through the people he leads. What has improved in your team? How has the level of autonomy, commitment, performance or quality of collective decisions evolved? The focus is not on isolated behavior, but on its real impact on the human system in its charge.
• Establishing a baseline
  Without an initial reference, any perception of improvement is subjective at best.
• Progress tracking
  Coaching ceases to be a succession of sessions to become a process with traceability.

The fit with ICF competencies

Far from conflicting with the competencies of the International Coaching Federation, this approach reinforces them.

For example:

• The “Evoke Awareness” competency gains depth when that awareness is linked to observable results in the team.
• “Facilitating client growth” becomes stronger when progress can be evidenced beyond the coachee’s own perception.
• Even active listening is enriched when the coach is able to connect what he hears with concrete metrics of evolution.

The challenge is not to abandon the essence of coaching, but to take it to a level of greater precision and responsibility.

Common mistakes that continue to limit impact

In practice, there are patterns that are frequently repeated:

• Objectives that are too generic
  Broad formulations that hinder any real assessment of progress.
• Absence of clear indicators
  The feeling of progress is trusted instead of evidence.
• Confusion between insight and change
  Understanding something does not necessarily imply behaving differently.
• Lack of connection to the organizational context
  Without indicators linked to the real environment of the manager, the impact is diluted.
• Not setting minimum business-aligned metrics
  Although coaching is not an audit, completely ignoring the impact on results limits its credibility in the executive sphere.

A practical example

Let’s imagine a manager who works in coaching his ability to delegate.

A traditional approach might focus on exploring beliefs, fears, or personal styles. All of this is valuable. But if we stop there, progress will be difficult to evidence.

From a Leadership Analytics approach, the process is complemented by elements such as:

• Evolution of the level of autonomy of the team
• Improvement in the quality of collective decisions
• Increased engagement
• Ability of the equipment to operate without constant supervision

The result is not colder coaching, but coaching that is more aware of its real impact.

The time to evolve

Executive coaching does not need to lose its essence to gain rigor. You need to integrate new ways to demonstrate your value.

Because ultimately, the question every coach should be asking is not whether their process generates good conversations, but something much more demanding:

Am I helping to bring about changes that can be sustained, observed, and explained?

The future of coaching in executive environments will not depend only on its depth, but on its ability to dialogue with the language of impact. And that language, increasingly, is that of data.

The real challenge is not to accompany conversations, but to evidence transformations.