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October 3, 2026

Executive Coaching ROI: What Should You Actually Measure?

By: Team DILAN
Executive Coaching RO

Ask ten people in the leadership development world what the ROI of executive coaching is, and you’ll get ten confident answers: 5x. 6x. โ€œ700%.โ€ Somebody will cite โ€œan ICF survey of 100 executives.โ€ Almost none of them can tell you where the number actually came from, what it measured, or over what time frame. I want to name that plainly, because I think it’s a credibility problem for the whole field, and it’s an easy one to fix.

Where these executive coaching ROI numbers actually come from

I went looking for the primary source behind the multiples that get repeated most often โ€” 5x, 6x, โ€œ6.8:1,โ€ โ€œ500โ€“700% ROI.โ€ What I found instead was a cluster of coaching-industry blogs citing each other, and a loosely attributed โ€œICF surveyโ€ I couldn’t trace to a specific, checkable study (see, for example, Locked On Leadership, 2026; Zhou, 2026). That doesn’t mean coaching doesn’t work โ€” I’d bet my practice on the fact that it does, done well. It means that 6x figure your CFO is hearing in a budget meeting almost certainly wasn’t calculated from your own program โ€” it’s a number borrowed from someone else’s unverifiable survey, dressed up to sound like it came from your data.

There’s a deeper issue beneath the sourcing problem, and I think it matters more than the citation itself: these figures are hard to trace because the underlying research methods are likely not solid. Studies in this space tend to rely on small, self-selected samples, self-reported before/after ratings from the very participants who chose coaching, and no comparison group of similar leaders who went without it โ€” a design that will reliably produce a flattering number almost regardless of what actually happened. A multiple born from a self-selected, self-reported study with no control group isn’t a fact you failed to source. It’s closer to an artifact of how the study was built, and that’s worth saying plainly before the field keeps repeating it.

If you’re using one of these figures in a proposal or a board deck right now, I’d treat that as a flag to verify โ€” and a methods question to ask about, not just a citation to track down โ€” before you repeat it as a fact to build a business case on.

What the actual shift in coaching is about

Here’s what’s real, and worth building on. The center of gravity in executive coaching has moved. A decade ago, most engagements existed to address derailing behavior at the top โ€” coaching as damage control. Today, the more common use case is developing high-potential leaders and supporting transitions (see Wilkins, 2025, and her ongoing Coaching Real Leaders series for Harvard Business Review). That’s a meaningfully different value proposition, and it’s one that’s much easier to measure โ€” because you’re not asking โ€œdid this person stop derailing,โ€ you’re asking โ€œdid this person get ready for the next role faster than they would have otherwise.โ€ That’s a question with an actual before-and-after.

Four metrics that beat a vague ROI multiple

  1. Behavior-change delta from a 360. Not โ€œdid participants like the coachโ€ โ€” a pre/post rating from the people who actually work with this leader, on the two or three behaviors the engagement targeted.
  2. Promotion or readiness-timeline acceleration. If a rising director was 12โ€“18 months from VP-ready, did coaching shorten that runway, and by how much relative to peers who didn’t get coaching?
  3. Retention of coached high-potentials at 12 and 24 months. This is the number that actually shows up in a board conversation, because replacing a leader who leaves is a cost everyone already understands.
  4. Manager-reported change in the specific developmental behavior. Generic satisfaction scores don’t count. The manager who nominated this person for coaching should be able to say, concretely, what’s different.

Why this matters more than it used to

This isn’t just a measurement-hygiene issue โ€” it connects directly to the leadership pipeline problem the field is already worried about. DDI’s most recent research describes โ€œjob hugging,โ€ where leaders cling to current roles rather than moving into the stretch assignments that build a pipeline, thinning the bench right as demand for ready leaders rises (Development Dimensions International, 2026). If coaching is one of the tools meant to compensate for a slower-moving pipeline, the organizations funding it need to know whether it’s actually working โ€” and โ€œan industry blog says 6xโ€ isn’t an answer that survives a real budget review.

A quick gut-check: Is your coaching program measuring the right thing? (Answer Yes/No)

  1. Can you name the specific behavior change your last coaching engagement was meant to produce?
  2. Do you have a pre/post measure โ€” a 360, a manager rating, a retention figure โ€” tied to that engagement?
  3. Could you defend the coaching budget in a board meeting using outcome data, rather than participant satisfaction scores?
  4. Do you track promotion-readiness timelines for coached leaders against a comparable, non-coached group?
  5. If you’ve cited a coaching ROI figure, is it traceable to your own organization’s data rather than an industry blog?
  6. Do you revisit outcomes at 12 months out โ€” not just immediately when the engagement ends?

Count your “Yes” answers (0-6)

What your score means

5โ€“6 (Outcome-driven) โ€” You’re measuring the thing that actually matters and could defend the investment on your own data. The next step is usually formalizing this into a repeatable dashboard so it survives a change in HR leadership.

3โ€“4 (Building the muscle) โ€” You have some real signal, but likely still lean on satisfaction scores or borrowed statistics for part of the story. Close the gap by picking one of the four metrics above you’re not yet tracking and adding it to your next engagement.

0โ€“2 (The vanity-metrics trap) โ€” If pressed, you’d likely reach for a number you read somewhere rather than one your own data produced. That’s a fixable, one-engagement problem โ€” not a program overhaul โ€” but it’s worth fixing before the next budget cycle, not during it.

Where to go from here

If your organization is funding coaching without a way to prove what it changed, that’s not an argument against coaching โ€” it’s an argument for better instrumentation around it.

We help leadership teams build exactly this kind of measurement into their coaching and high-potential programs from the start, so the ROI conversation is a data conversation instead of a borrowed statistic.

Reach out at office@dilanconsulting.com for a second set of eyes on what your program is actually proving โ€” or not yet proving.

Sources

A note on sources: I could not verify a specific, checkable primary study behind the commonly cited โ€œ5xโ€“7xโ€ or โ€œ6.8:1โ€ coaching ROI figures โ€” the sources below are the industry blogs where those numbers currently circulate, cited here so you can trace and verify them yourself rather than repeat them secondhand.

Development Dimensions International. (2026). Leadership trends 2026. DDI. https://www.ddi.com/blog/leadership-trends-2026

Locked On Leadership. (2026). The 2026 guide to the cost of executive coaching: Fees, rates, and ROI. https://lockedonleadership.com/blog/the-2026-guide-to-the-cost-of-executive-coaching-fees-rates-and-roi/

Wilkins, M. M. (2025). You’re the boss. Simon & Schuster.

Wilkins, M. M. (Host). (2026). Coaching real leaders [Audio podcast]. Harvard Business Review. http://feeds.harvardbusiness.org/harvardbusiness/coaching-real-leaders

Zhou, L. (2026). 70+ latest coaching statistics: ROI, growth & AI. https://luisazhou.com/blog/coaching-statistics/

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