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Your SaaS Bill Is Growing. Your ROI Isn't.
You pay full price for platforms your team barely uses. The features you actually need are buried under dozens you don't. Your data sits in someone else's database. And every workaround your team has quietly accepted? That's a cost nobody is tracking.
We know because we ran the numbers on our own stack. What we found might change how you evaluate yours.
The SaaS Cost That Gets Omitted
Pendo's research found that the average SaaS product has 80% of its features rarely or never used. For most companies, this is a mild annoyance — you're paying for shelf space you don't need, but the subscription is manageable.
The problem starts when a tool sits at the center of a business-critical process. When your team can't customize the metrics that matter. When candidate data or customer records are locked in a vendor's data model. When your process has matured past what the generic tool was designed to handle.
That's when "manageable subscription" becomes compounding cost. Not because the software is bad — it was designed for millions of users. You're just not the average user anymore.
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Two Numbers That Reframe the Conversation
#1
When we audited our own recruitment tool, we found 24 specific problems. We calculated the cost of each one. Total estimated annual impact: over 150,000 PLN. But here's the catch — 85% of that number was opportunity cost. Revenue from faster hiring, candidates we'd lose to slow processes, competitive advantage from better data. Real impact, but unprovable on a spreadsheet. Only 15% was hard, measurable time savings.
This is the number that determines whether replacing a SaaS tool makes financial sense — and it's the number most evaluations skip entirely.
#2
If opportunity costs are fully real, our custom replacement pays for itself in year one with 75% ROI. If they're less than half real, the project loses money. Same data, same tool, same problems — completely different conclusion depending on one assumption you can't verify in advance.
This is the honest math behind every "SaaS is dead" argument. And it's the math most vendors on either side leave out.
What We Learned (And What You Can Use)
The 3 Questions That Actually Matter
Before you calculate anything, run your SaaS pain through these three filters. They'll save you months of analysis on tools that don't need replacing.
Is this a software problem or a process problem? Half the frustrations teams blame on their tools are actually undocumented workflows or unclear ownership. Replacing the tool won't fix that — it'll just move the mess to a new platform.
Could another SaaS solve it? Sometimes the answer is switching vendors, not building from scratch. A 15-minute feature comparison can eliminate weeks of build-vs-buy analysis.
Do you need capabilities no SaaS can provide? This is where custom software earns its budget. When your process requires data connections, metric definitions, or workflow logic that no vendor supports — because your business isn't their average customer.
The Klarna Signal
The Maintenance Problem
The answer isn't "AI solves everything." The answer is: you can prototype fast with AI-assisted engineering, but you still need someone who ensures the result is secure, properly integrated, and maintainable by the next person. That's an engineering partner problem, not a tooling problem.
What Our Evaluation Framework Covers
Feature audit worksheets — map what you actually use vs. what you pay for, with instructions for running the exercise with your team.
Pain point clustering method — how we went from a complaint list to 7 structured problem categories. Includes the workshop format and prioritization matrix.
Cost estimation with the direct vs. opportunity cost split — the template for separating provable savings from strategic value. With our real numbers included for full transparency.
Decision matrix — the go/no-go criteria we defined before running the numbers, so the math couldn't be reverse-engineered to justify a predetermined conclusion.
Scoping guardrails — budget caps, kill criteria, and validation gates to prevent scope creep from turning a smart experiment into an expensive mistake.
The Build-vs-Buy Equation Has Changed
Built for Teams Evaluating Their Stack
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Get the Framework We Used to Evaluate Our Own Stack
No email gate. No sales funnel. Just the actual methodology, worksheets, and real numbers from our SaaS replacement evaluation.
We built this for ourselves. We're sharing it because the "build vs. buy" conversation deserves better data than hot takes and vendor marketing.
And if the framework raises questions you want to think through with someone, we're running a limited number of no-cost discussions for teams actively evaluating their stack.
Follow the Experiment
No spin. Real numbers. The full build-in-public story. Bi-weekly (or so).
