Somewhere in your organization right now, someone knows you need customer education.
They've seen the support tickets pile up. They've watched onboarding completion rates stall. They've felt the churn that nobody can quite explain.
They know.
But knowing isn't the problem.
The Knowing-Doing Gap
Jeffrey Pfeffer and Robert Sutton at Stanford identified what they called "the knowing-doing gap" — the phenomenon where organizations consistently fail to act on knowledge they already possess.
Their conclusion: the gap between knowing and doing is more important than the gap between ignorance and knowing.
Companies don't fail because they lack information. They fail because they treat analysis as a substitute for action.
In customer education, this pattern is extreme:
96% of organizations with customer education programs report positive ROI. (Forrester/Intellum 2024, n=300)
Only 4% have formalized programs. (Intellum 2024)
That's not an information gap. That's a decision gap.
The $250 Million Decision Tax
McKinsey surveyed more than 1,200 global business leaders and found that inefficient decision-making costs a typical Fortune 500 company 530,000 days of managers' time each year — equivalent to roughly $250 million in annual wages.
Managers spend 37% of their time making decisions. 58% of that time is used ineffectively.
That's not a rounding error. That's a structural tax on every initiative that requires organizational buy-in — including the decision to invest in customer education.
Why 40-60% of Deals Die From Indecision
Matt Dixon and Ted McKenna analyzed 2.5 million sales conversations and published their findings in Harvard Business Review (2022). Their discovery:
40-60% of B2B deals end in "no decision" — not lost to a competitor, not rejected on merit, just... never decided.
Breaking that down:
- 56% of no-decisions were caused by the customer's inability to make a buying decision (indecision)
- 44% were caused by genuine preference for the status quo
- 87% of sales opportunities contained moderate or high levels of customer indecision
The biggest enemy isn't your competitor. It's the inability to decide.
And once purchase intent is established, Dixon found, buyers don't care about succeeding. They care about not failing.
Kahneman and Tversky's prospect theory explains why: losses are psychologically felt 2.25x more intensely than equivalent gains. The risk of making the wrong decision feels more than twice as heavy as the reward of making the right one.
86% Stall. 88% Fail. 77% Say It's Too Complex.
The data paints a consistent picture:
86% of B2B purchases stall during the buying process. (Forrester, "The State of Business Buying," 2024)
88% of business transformations fail to achieve their original ambitions. (Bain & Company, 2024)
77% of B2B buyers describe their last purchase as "very complex or difficult." (Gartner, 2019)
The average B2B deal now involves 6.8 stakeholders (up from 5.4 in 2020). CFO involvement in software purchases has increased 40%. Sales cycles are 25% longer than five years ago.
More people. More scrutiny. More complexity. More stalling.
And on the other end: a 95% correlation between decision effectiveness and financial performance, across 1,000+ companies over 10 years of Bain research.
Companies that decide well, perform well. Companies that stall, don't.
The Customer Education Decision Specifically
Over the last 44 posts on this site, we've assembled the case:
The cost of not acting: $1.18M-$2.06M per year for a $5M ARR company (24-41% of ARR) across five categories — churn, support waste, onboarding failure, missed expansion revenue, and tool fragmentation. (Post #336)
The ROI of acting: 372% composite ROI, 7-month payback period. (Forrester TEI, n=122)
The objections:
- "We don't have time" — You're already spending the time on reactive support, just without the compound returns (Post #340)
- "We don't have budget" — You're already spending the budget on the consequences of not educating (Post #341)
- "We don't have expertise" — You don't need to become an instructional design firm; you need to systematize the knowledge your team already delivers daily (Post #342)
The urgency: First-mover advantages are real, compound costs of delay are measurable, and your competitors are already investing — CE spending is expected to nearly triple between 2024 and 2026. (Forrester) (Posts #343-#344)
The getting-started path: A 90-second business case (Post #337), a 30-day pilot framework (Post #338), and a Day 31 scaling playbook (Post #339).
So What's Actually Stopping You?
It's not the data. We've cited over 150 statistics from Forrester, Gartner, McKinsey, Bain, TSIA, Skilljar, Intellum, Thought Industries, and dozens of other sources.
It's not the ROI. 96% positive, 372% composite, 7-month payback.
It's not the how. We've mapped the 30-day pilot, the three KPIs that get budget approved, the scaling framework.
It's not even the risk. The risk of acting is a 30-day pilot with three measurable outcomes. The risk of not acting is $1.8M per year in compounding structural costs.
What's stopping you is the act of deciding itself.
The 37% of management time spent on decisions. The 58% of that time wasted. The 6.8 stakeholders who all need to agree. The 2.25x loss aversion that makes "not failing" feel more urgent than succeeding.
Pfeffer and Sutton called it the "smart talk trap" — organizations that substitute analysis for action, where the meeting about the initiative becomes the initiative.
The Decision Has Already Been Made
Here's the thing about the knowing-doing gap:
The decision has already been made.
Not by you, perhaps. But by the math.
When 96% of organizations report positive ROI, the question isn't whether customer education works. When the payback period is 7 months, the question isn't whether you can afford it. When 60-70% of your support tickets are deflectable knowledge-gap questions, the question isn't whether there's a problem.
The only remaining question is organizational: who puts this on next quarter's roadmap?
Not "should we." Who will.
Because every quarter you spend deciding is another quarter of:
- 12% churn you could be reducing
- 60-70% of support tickets you could be deflecting
- 30-50% onboarding dropoff you could be preventing
- 14-24 percentage points of NRR you're leaving on the table
The cost of indecision isn't zero. The cost of indecision is $1.8M per year.
The data is in. The math is done. The objections are answered. The playbook is written.
The decision has already been made. The only question is whether you'll act on it.
Start Here
If you've read this far, you already know.
Omumu is building the customer education infrastructure for teams who are ready to stop deciding and start doing.
Join the waitlist: omumu.com/page/waitlist accessibility.link.new-tab
Sources
- Dixon & McKenna, "Stop Losing Sales to Customer Indecision," Harvard Business Review (2022) — 2.5M sales conversations
- Forrester, "The State of Business Buying" (2024) — 86% stall rate
- McKinsey, "Decision Making in the Age of Urgency" — 1,200+ leaders, 530K days wasted
- Bain & Company, "Decide & Deliver" — 1,000+ companies, 10-year study
- Bain & Company (2024) — 88% transformation failure rate
- Gartner (2019) — 77% purchase complexity, 6.8 stakeholders
- Kahneman & Tversky, Prospect Theory (1979) — loss aversion coefficient λ ≈ 2.25
- Pfeffer & Sutton, "The Knowing-Doing Gap" (Harvard Business School Press)
- Forrester/Intellum (2024) — 96% positive ROI, 4% formalized, n=300
- Forrester TEI (2024) — 372% ROI, 7-month payback, n=122
- Forrester (2024) — CE spending expected to nearly triple 2024-2026
- Corporate Visions / Optifai (2025) — B2B sales cycles 25% longer than 5 years ago