Structural Waste
Structural waste has a specific P&L signature: SG&A growing faster than gross profit for consecutive quarters while every functional dashboard reports green. It is inefficiency that comes from how the organization is arranged rather than from any individual underperforming, which is why both readings are true at once: each team is hitting the numbers it was given, and the numbers it was given do not connect to contribution margin. As businesses scale, the marketing function that operated as a unified stack across a team of five gets distributed into silos: product, marketing, sales, analytics, creative. Each silo staffs independently, measures independently, and optimizes for its own KPIs. The proxies drift further from the business, ROAS, assets deployed per week, engagement, share of voice, and when nobody owns revenue accountability, initiatives multiply against those proxies. The magnitude is not marginal: across our client engagements, from SMBs under $10 million in revenue to Fortune 15 enterprises, the waste averages 15 to 20% of operating expenses, and at one client, duplicate data and tools alone accounted for $10 million, half the IT budget.
How it actually works
Redundant initiatives accumulate. At a mid-market company, the marketing operations team had 56 planned initiatives. About 12 were duplicates proposed by different team members using different language to address the same problems. Twenty were static retrospectives that could have been replaced by a single report if all teams were aligned to financial metrics instead of their channel's proxies. Only 4 of the 56 were actually investigating what was going wrong with acquisition and retention, and the people working on those 4 did not yet have the language to connect their numbers to the other teams' numbers.
The psychology that keeps the waste in place is documented and compact. Under perceived threat, organizations restrict information flow and tighten control (the threat-rigidity effect, Staw, Sandelands, and Dutton, 1981); Harvard Business School research confirmed across eleven experiments that the bearer of bad news is rated less likable and attributed malicious motives, so the person who could surface the waste is penalized for surfacing it; and when raising issues gets dismissed, the people most able to see the problem stop talking or start leaving, the dynamic Google's Project Aristotle and Edmondson's psychological-safety research measured. One visible symptom: managers referring to other internal teams in the third person.
What separates structural waste from the looser diagnosis of silos is an invariance claim: the waste cannot be removed by replacing people, only by changing what is measured. A new team inherits the same local KPIs and reproduces the same duplicate initiatives within a few quarters, because the KPIs, and not the people, are what generate the spending. The durable fix aligns each function's targets to contribution margin, at which point duplicate initiatives, retrospectives replaceable by a single report, and work with no connection to acquisition or retention all become visible against the same number, and the SG&A-versus-gross-profit gap in the P&L starts to close for a reason the statements can show.
In practice
The 56-initiative portfolio shows how the diagnosis lands. If those initiatives had been launched in isolation, each fix could have broken something in the next department over, and that was the trajectory the team was on. The same pattern reaches outside advisors: the diagnosis of structural waste gets received as the problem instead of the waste itself, with responses like "we weren't paying you to look at that area of the business quite yet." The messenger research predicts exactly that reception. The concentrated alternative is also in the record. A brand that held the number one pre-workout on the market expanded into a biography, a women's supplement line, spicy supplements, and a mobile game while the proven product went underfunded; all their customers wanted was more flavors of the same tried-and-true product. Their competitor doubled down on its own competing pre-workout and took it into GNC, where it did $36 million the following year, while the diversifying brand dropped 25%. Each expansion had a business case on its own; they were not all equally grounded in customer research. The comparison is documented in [reading the curves](/insights/s-curve-of-growth#reading-the-curves).
Where we come in
We evaluate initiative portfolios against financial metrics rather than channel proxies: which initiatives duplicate each other, which could be replaced by a single report, and which actually investigate acquisition and retention. The starting move is getting teams on the same page about how the business makes money, not "we sell X" but "we sell X which yields Y which enables Z," so that proposed work can be judged by its connection to contribution margin.
Start a Revenue Health Pre-Assessment →See it in action
Related terms
- Local KPI optimization
- Each silo improving its own metric, such as ROAS or assets shipped, without reference to contribution margin. Every team can hit its numbers while the business declines.
- Contribution margin
- Revenue minus variable costs. The shared metric that makes duplicate and low-value initiatives visible, because it is the number local proxies fail to connect to.
- Threat-rigidity effect
- The documented tendency of organizations under perceived threat to restrict information flow and tighten control (Staw, Sandelands, and Dutton, 1981), which suppresses exactly the signals a plateau produces.
- Psychological safety
- Whether people feel safe taking interpersonal risks, such as delivering bad news. The strongest predictor of team effectiveness in Google's Project Aristotle study.
- Redundant initiatives
- Multiple projects addressing the same problem under different language, launched in isolation so that fixing one thing can break another.