What to consider before launching your SaaS project

The problem before the solution

The first question to ask is never "which technology to use" but "what precise problem am I solving, for whom, exactly." A SaaS that answers a vague problem — "help companies be more productive" — rarely wins over anyone beyond a polite circle of well-meaning friends. A SaaS that answers a precise problem, concretely and regularly experienced by an identifiable audience, has a real chance of finding its first paying clients, even a small number at first.

A good test is being able to describe the problem in one sentence that the person concerned would immediately recognize as their own, with no extra explanation needed. If that sentence already requires a paragraph of context, the problem probably isn't precise enough yet.

Willingness to pay, not just polite interest

A prospective user who says "that's a good idea" commits to nothing — it's the easiest answer to give and the least reliable to interpret. A prospective user who agrees to name a realistic budget, or better still, agrees to pre-book a spot or pay a symbolic deposit, gives far more reliable information about the project's real viability. The gap between interest and willingness to pay is probably the number one cause of failure for otherwise well-executed technical projects.

The pricing model, to think through early

Classic recurring subscription, usage-based billing, license, or a combination of the two (a subscription base plus variable consumption) — this choice shapes a good part of the technical architecture that follows: quota management, plans, overage, mid-month prorated billing. Better to settle it before coding than to retrofit it once the first clients are already in place, which often means a delicate data migration.

Compliance isn't a secondary option

GDPR, terms of sale, cookie consent — these are rarely the most exciting topics at launch, but they become blocking issues from your very first real clients, especially in B2B, where professional buyers systematically check these points before signing a contract, sometimes through their own legal department.

What a B2B buyer actually checks

• The existence of versioned terms of service, with acceptance traceability per user.
• A cookie consent mechanism that actually works, not just a cosmetic banner.
• The location and security of data hosting.
• The ability to get a data processing agreement (DPA) if personal data is processed.

Infrastructure and scaling

No need to over-architect for usage you don't have yet — the temptation to prepare massive infrastructure before the first real client is a classic trap that delays launch with no real benefit. But choosing from the start a model that cleanly isolates each client's data, with no possible mixing, avoids a painful migration once the number of real clients passes a dozen and this choice becomes structurally expensive to fix.

Give yourself a real stop criterion

Finally, an often overlooked point: define in advance what would count as a clear signal the project has failed — a number of paying clients below which continuing no longer makes sense, a deadline past which to seriously reassess. Without this criterion set with a cool head in advance, the temptation to keep pushing indefinitely on a project that isn't taking off is human, but costly in time and energy.

A concrete exercise before writing a single line of code

Writing, in one page at most, the answer to these four questions is often enough to reveal whether a project is ready to start: exactly who is the first targeted client, what concrete problem they face today with no satisfying solution, how much they'd be willing to pay to solve it, and how you actually plan to reach them in the first few weeks. A project that can't clearly answer these four questions is better off clarifying them before investing development time, whatever technical foundation is chosen.