Most tool evaluations are run on features, because features are what vendors publish and what fits in a comparison grid. The grid rarely predicts whether the tool will help, because the things that determine that are structural and none of them appear as a checkbox.
This is a vendor-neutral list of what actually matters. It applies to ReqLens as much as to anything else, and several items on it are genuinely hard, so treat any tool claiming all of them effortlessly with suspicion.
1. One artefact, not four copies
The most common failure in this category is not a missing feature. It is duplication. Requirements in one system, stories in another, tests in a third, defects in a fourth, each holding its own copy of the same intent.
Nothing keeps four copies in sync. Within weeks they disagree, and the team learns to trust none of them.
The structural question to ask: when a requirement changes, how many places does someone have to update by hand? If the answer is more than zero, the tool is storage, not management.
2. Traceability that is a by-product, not a task
Everyone agrees traceability is valuable. Almost nobody maintains it, because in most tools it is a separate manual step that produces value later for someone else. That combination guarantees it will be skipped under pressure, which is exactly when it matters.
Traceability has to be generated by doing the work, not by remembering to record the work.
Change a requirement in the middle of the flow, then ask the tool what is now affected. If someone has to reason it out rather than the tool answering, traceability is decorative.
3. Requirement quality support, not just a text box
Storing a badly written requirement in a structured system produces a badly written requirement with a nice interface. Useful tooling helps improve the requirement itself: surfacing missing acceptance criteria, unstated assumptions, undefined terms, and the negative paths nobody considered.
This is where AI-assisted tooling earns its place, and also where it most needs a limit. Which brings us to the next one.
4. The human decides, visibly
Any tool that generates content has to answer one question convincingly: what stops a plausible but wrong suggestion from entering the project silently?
The acceptable answer is an explicit approval step, with the generated version and the accepted version both visible. The unacceptable answer is confidence in the model.
- Generated content is clearly marked as proposed until a person accepts it.
- Editing a suggestion is as easy as accepting it, otherwise people accept out of friction.
- What was generated and what was changed both remain visible afterwards.
- Rejecting costs nothing and leaves no residue in the artefact.
5. Serves four roles, not one
Requirements tools tend to be built for Business Analysts and bolted onto by everyone else. Test tools tend to be built for QA and treat requirements as an import. Both create a seam, and the seam is where information is lost.
The four roles have genuinely different needs from the same underlying artefact, and a tool that serves one well and three adequately will be adopted by one team and worked around by three.
6. Exports and integrations that are not hostage-taking
Your requirements are your organisation's understanding of its own product. A tool that makes them hard to extract is charging you rent on your own thinking.
Test for: full export in an open format, integration with the trackers already in use, and an API. Import matters as much as export, because a tool nothing flows into never becomes the source of truth.
7. Change propagation
Requirements change. What matters is what happens next.
When a requirement is edited, a serious tool identifies which stories, criteria, use cases, tests, and defects are now potentially stale, and surfaces them for review. Without this, the downstream artefacts silently describe the old behaviour, and nobody finds out until testing disagrees with the specification.
Key takeaways
- Duplication across systems is the main failure mode, not missing features.
- Traceability must be a by-product of doing the work, or it will not be maintained.
- Any generation capability needs a visible approval step and a cheap reject.
- Test change propagation in the demo: edit a requirement and see what the tool knows is now affected.
How to run the evaluation
Do not run the feature grid. Take one real requirement from your own backlog, ideally a messy one, and push it through the entire tool: elaboration, decomposition, acceptance criteria, test design, execution, defect, report. Then change it and watch what happens downstream.
Two hours of that tells you more than two weeks of comparison spreadsheets, because it tests the joins between capabilities rather than the capabilities themselves, and the joins are where these tools succeed or fail.