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Software development, UX + Design

Why the best enterprise software feels simple

Graphic showing a computer screen with 3 layers behind it

Somewhere in your organization right now, a smart, capable employee is copying data from one system, pasting it into a spreadsheet, reformatting it, and pasting it into a second system. Not because they don’t know better — but because that’s genuinely the fastest path through the software you bought to make their job easier.

Nobody puts that workflow in the demo. But it’s the truest picture of enterprise software most companies have.

Here’s the uncomfortable math behind it. Gartner projected businesses would spend roughly $300 billion on SaaS in 20251 — and has estimated that a quarter of SaaS spending is underutilized. Zylo’s 2026 SaaS Management Index, built on analysis of more than 40 million licenses, found organizations leave about 36% of their software licenses sitting unused — an average of nearly $20 million in waste per organization, per year.2

That waste isn’t a procurement problem. It’s a design problem. And it has a name.

Complexity never disappears. It just moves.

In the 1980s, Larry Tesler — a designer at Xerox PARC and later Apple — articulated a principle now known as Tesler’s Law, or the Law of Conservation of Complexity: every system has an irreducible amount of complexity. The only question is who deals with it.

Your business is complex. Approval chains, compliance requirements, regional pricing rules, exceptions to the exceptions — that complexity is real, and no software makes it vanish. It can only be absorbed somewhere. Either the design team and engineers absorb it during the build, or it gets shipped downstream to your employees, one confusing screen at a time.

This is the single most useful lens a business leader can bring to a software decision:

Simple software isn’t software with less in it. It’s software where someone else already did the hard thinking.

When an interface feels effortless, that’s not the absence of complexity — it’s the evidence of it being handled. Somebody mapped your real workflow, made a hundred small decisions about defaults and sequencing and error states, and hid the machinery so your people could just work.

When an interface feels like a cockpit, the opposite happened. The vendor took the complexity of the problem and handed it directly to your team, wrapped in a training manual.

The demo is designed to impress you. The product should be designed to disappear.

There’s a structural quirk in enterprise software that every leader should understand: the person who buys the software is almost never the person who lives in it.

Buyers evaluate in demo mode — an hour of guided clicking, ideal data, a salesperson narrating. In that context, more features feel like more value. A dense screen reads as “powerful.” A long capabilities checklist reads as “future-proof.”

Your employees experience the same product at hour 400, on a Tuesday, mid-task, with a customer waiting. In that context, every extra option is a tax. Researchers describe this as cognitive load — and in enterprise settings the stakes are higher than annoyance. A confused shopper abandons a cart; a confused employee submits the wrong purchase order or misses a compliance deadline. Unlike consumers, your employees can’t churn. They just quietly disengage, build workarounds, and route around the tool — which is exactly how shadow IT is born. (Deloitte’s 2025 Global ITAM Survey found 69% of organizations reporting a rise in shadow IT and unauthorized SaaS purchases.)

The feature checklist wins the sale. The experience determines whether you get any return on it.

Closing the buyer–user gap

The good news: this disconnect isn’t a law of nature. It’s a procurement habit — and habits can be redesigned. A few practical moves close most of the gap.

  • Put daily users at the demo table — with a speaking role. Not as observers politely watching the vendor click through slides, but driving. The most revealing hour in any evaluation is when the person who will live in the tool tries to complete a real task from your actual workflow, with the vendor forbidden from touching the mouse. Bring a cross-section: the power user, the once-a-month user, and — critically — the newest hire, whose confusion is the most honest data you’ll collect. Executives evaluate software the way they’ll never use it; frontline staff evaluate it the way it will actually be used.
  • Change what you score. Most evaluation matrices are feature bingo: rows of capabilities, columns of vendors, checkmarks everywhere. Add rows the checklist ignores — clicks to complete your three most common tasks, time for a new hire to reach unassisted proficiency, and what the vendor’s own data says about feature adoption among customers like you. If usability isn’t a weighted line item in the scorecard, it will lose to the feature list every time, because features are easy to count and friction is easy to postpone.
  • Pilot with your skeptics, not your champions. Every rollout has an enthusiastic internal sponsor — and their optimism is real, but it isn’t representative. A two-week pilot with the team most resistant to change tells you what year two looks like. Watch where they hesitate, where they open a spreadsheet on the side, where they ask a colleague instead of the interface. Each of those moments is a preview of a support ticket, a workaround, or a shadow-IT purchase.
  • Make adoption someone’s job after the ink dries. The buyer–user gap doesn’t end at signature; it just goes quiet. Assign an owner for adoption metrics — active usage, task completion, support volume — and put those numbers in front of leadership on the same cadence as the budget that pays for the tool. Vendors negotiate differently, and design differently, for customers who measure what happens after the demo.

None of this requires a bigger budget. It requires a different definition of due diligence — one where “does it work” is answered by the people the software is supposed to work for.

Simplicity is not minimalism — and oversimplifying is its own failure

A quick but important caveat, because “make it simple” gets misread. Tesler’s Law cuts both ways: strip out capability your power users genuinely need, and the complexity doesn’t vanish — it reappears as spreadsheets, side channels, and support tickets. Design researchers are blunt about this: oversimplification is the other way to fail.

The mature answer is a technique called progressive disclosure — companies like Stripe have made it famous. Show every user the 20% of functionality they need 80% of the time. Keep the advanced machinery one deliberate step away, available exactly when it’s needed and invisible when it’s not. A well-designed enterprise tool serves the first-week hire and the ten-year power user from the same screen — it just reveals itself at different depths.

Good enterprise design, in other words, isn’t about removing power. It’s about sequencing it.

Why this conversation is essential

Three forces have turned simplicity from a design preference into a business strategy.

  • First, expectations crossed over. Your employees spend their evenings inside consumer products refined by billions of dollars of UX investment. They no longer grade workplace software on a curve. Enterprise UX research in 2026 consistently finds that teams now expect internal systems to feel intuitive and fit the rhythm of daily work — and disengagement when they don’t.
  • Second, the sprawl bill came due. Okta’s Businesses at Work data shows the average company now runs over 100 applications3; large enterprises can exceed 300. Each tool adds context-switching — and each switch carries a cognitive cost that compounds across an entire workforce, every day. Consolidation is now a board-level topic precisely because the waste is finally measurable.
  • Third, AI raised the stakes on clarity. As agentic AI moves into enterprise workflows — executing tasks, not just answering questions — design’s job shifts from arranging buttons to making machine behavior legible. The 2026 enterprise UX literature is emphatic on this: when software acts on your behalf, the interface must make what’s happening clear and predictable. Trust, it turns out, is a design deliverable. Complicated AI is not a differentiator; comprehensible AI is.

The payoff is measurable

This isn’t aesthetics. Organizations that invest in the usability of internal tools routinely report support-ticket reductions in the range of 30–50%, alongside faster onboarding, fewer errors, and shorter task times. Multiply a few saved minutes per task across every employee, every day, and simplicity stops looking like a design virtue and starts looking like operating leverage.

The inverse is the $20 million question from the top of this post: software that people don’t willingly use is the most expensive software you own — no matter what it cost.

Five questions that reveal whether software is actually simple

You don’t need a design degree to evaluate this. You need better questions.

1. “Show me the third week, not the first hour.” Ask the vendor to walk through the most common daily task — start to finish, with realistic data. Count the clicks. Count the screens. Count the decisions the user has to make that the system could have made for them.

2. “Who absorbed the complexity?” Ask how the product handles your messy realities — the exception approvals, the weird regional rule. If the answer is “the user can configure that,” ask who “the user” is and how long the configuring takes. “Configurable” is often vendor-speak for “we shipped the complexity to you.”

3. “What did you remove in the last year?” Great product teams subtract. If a vendor can only list what they’ve added, the product is accreting — and your employees are the ones absorbing the buildup.

4. “What does the new hire see versus the power user?” You’re listening for progressive disclosure — a deliberate answer about defaults, depth, and how the product reveals capability over time. “Everything’s right there on the dashboard” is not the flex it sounds like.

5. “Can my most skeptical employee try it — unsupervised?” Not your champion. Your skeptic. Watch where they hesitate. Every hesitation you observe in a pilot is a hesitation you’ll purchase ten thousand times over after rollout.

The bottom line

Simplicity in enterprise software is not the absence of sophistication. It’s sophistication that had the discipline to hide itself.

The complexity of your business is a fixed quantity — Tesler was right about that. The only real decision is where it lives: engineered away inside the product by people whose job it is to absorb it, or exported to your workforce as friction, training hours, workarounds, and waste.

The best enterprise software feels simple for the same reason a great building feels effortless to move through: an enormous amount of hard work went exactly where you’ll never see it.

Choose software — and build software — accordingly.


Creed Interactive is a Twin Cities web development and digital agency that has spent two decades absorbing complexity so our clients’ users don’t have to. If your team is fighting its tools instead of using them, let’s talk.


Sources

  1. https://www.gartner.com/en/newsroom/press-releases/2024-11-19-gartner-forecasts-worldwide-public-cloud-end-user-spending-to-total-723-billion-dollars-in-2025 ↩︎
  2. https://zylo.com/news/2026-saas-management-index and https://zylo.com/2026-saas-management-index ↩︎
  3. https://www.okta.com/newsroom/articles/businesses-at-work-2025/ ↩︎