Before most B2B software purchases, a developer checks whether the product will actually work. They read the API docs, test a few endpoints and look for the details that matter to them: authentication, rate limits, webhooks, SDKs. If they are satisfied, they tell their manager it is viable. If not, the product is quietly dropped from the shortlist.
Developer questions during evaluation are some of the most important technical presale questions a SaaS company receives, and they often arrive without anyone on your side knowing an evaluation is happening.
What developers want to know
Technical evaluators tend to ask about:
- Authentication: API keys, OAuth, token lifetimes.
- Rate limits: requests per minute, per plan, what happens when exceeded.
- Webhooks: which events, retry behaviour, signing.
- SDKs and libraries: which languages are supported.
- Data formats: JSON structure, pagination, filtering.
- Errors: codes, messages, idempotency.
- Environments: sandbox or test mode availability.
- Versioning: how breaking changes are handled.
Each question is specific. A developer who asks about webhook retries wants to know the number of retries and the backoff schedule, not "yes, we support webhooks."
Why vague answers end evaluations
Developers are good at spotting hand-waving. An answer that avoids the specifics suggests either the feature is weak or the docs are poor. Both are reasons to try the next product. Often the answer exists in your documentation, but the developer could not find it. The pattern is covered in the feature question that means your docs are wrong.
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Answering specifically, from the docs
Visitor: What happens if a webhook delivery fails? Assistant: Failed webhook deliveries are retried up to 5 times with exponential backoff over about 24 hours. Each request includes a signature header so you can verify it came from us. The webhooks page in the API docs lists the retry schedule and the event types.
That answer is concrete and points to where the developer can verify it. SpideyChat for SaaS companies answers from your API documentation at any hour, which matters because many developers evaluate in the evening or across time zones.
Knowing when to bring in an engineer
Some developer questions go beyond the docs: unusual architectures, performance at very high volume, or edge cases in their specific setup. These should reach an engineer, with the conversation attached. The assistant should say so clearly rather than guessing. A good handover here often turns a technical evaluation into a sales conversation.
Capturing the evaluation
When a developer asks several detailed questions, they are evaluating. That is a lead, even if they never fill in a form. Offer to connect them with a technical contact or a trial with higher limits, and capture their details with the questions they asked.
Missing features
Sometimes the honest answer is "we don't support that yet." Say so, suggest a workaround if one exists, and capture it as a request, as described in handling feature requests that arrive through chat. Developers respect a clear no far more than a vague maybe.
Fit questions from other buyers
Developers ask the technical version of the fit question every buyer asks. Retail shoppers ask it too, in the form of product comparisons, as seen in product comparison questions your pages never answer and the AI shopping assistant and product fit. In every case, specific answers win.
A practical test
Ask a developer on your team to evaluate your own product as an outsider would, noting every question they could not answer from the docs in under two minutes. Fix those pages first. Then try an assistant on your docs site with the same questions, and see how handover to your team works.