Spreadsheets vs. enterprise giants: Finding the middle ground for requirements management in Jira

[#1]

We’ve all seen it happen. A team adopts Jira for development because they want to be agile. But when it comes to requirements management, they hit a wall.

Usually, they split into two camps:

1. The "Document" camp: They stick to Word and Excel. It feels flexible at first, but eventually, you end up in "Version Hell" (final_v9_REAL_final.docx). Traceability is manual, and links between requirements and tests break the moment a document is updated.
2. The "Legacy" camp: They buy massive, expensive enterprise ALM tools. These are powerful, but they often require dedicated admins and specialized training. Worst of all? Developers hate them. They stop updating the tool, and the data drifts away from reality.

We recently discussed this friction with a partner of ours, HALready, who specializes in functional safety. Their insight was sharp: "Good engineering isn't just about building things right. It’s about building the right things."

If your requirements live in a silo (a document or a separate tool) and your code lives in Jira, you are risking a "truth gap." You might build a feature perfectly, only to realize during the certification phase that it doesn’t meet the safety requirement defined six months ago in a PDF.

The solution: Keep requirements where the work happens.

By treating requirements as native Jira issues (rather than static text), you get the best of both worlds:

• Structure: You can enforce mandatory fields and workflows (like the legacy tools).
• Flexibility: Developers don't have to switch contexts (like the spreadsheet method).

How is your team currently handling the link between requirements and Jira? Are you still attaching Word docs to epics, or have you moved to a native app approach? Let’s discuss the pros and cons below.

[s_gridnevskii]

We added Story work item to our projects. And use Epics to gather together stories. They both have very simple workflow - Open, In Progress, Done. In fact Epics and Stories are all that product managers need to plan their work. After project manager and team decides to take the Story into work they break it down to atomic tasks, assign weights and schedule a sprint.

Requirements are there in stories. They can be used by QA who test tasks and link bugs to tasks.

[Aron Gombas _Midori_]

@Halina Cudakiewicz_Deviniti_ 

The following is based on my past experience in the safety critical industries (car makers, medical devices, etc.).

If you start comparing Jira to the high-end requirements management products, it is not a fair comparison.

The Jira data model is significantly simpler than the high-end systems', and therefore it cannot be efficiently used in situations that are "must have" for a car maker. Two examples from the top of my head:

1. Requirements must be strictly versioned. Not only you must be able to know how a req looked on a given date, but even the whole req database must offer this "time machine" feature. Jira doesn't have a good solution for work item versioning, baselining and such.
2. The dependencies between requirements must support attributes. In Jira you can express dependencies using work item links which are not really more than a "directed arrow with a label". In high-end systems, dependencies have their own attributes and are a much smarter entity to enable impact analysis ("what other requirements must be changed/reviewed if I change this one?").

Of course, these features have a price: complexity. Which Atlassian tries to avoid.

So, I think Jira or Jira+Confluence can be great for simple needs, better than Word files sent back and forth, but for serious demand this isn't really sufficient. 

I am not very familiar with these, but Yogi is a popular app (for Jira and Confluence) that offers more advanced RM functionality, and there are Marketplace apps that integrate the external RMsystems to Jira.

Oh, I ran a search on the Marketplace and it seems that there is whole lot of apps in this area... :-O

[s_gridnevskii]

@Aron Gombas _Midori_  perhaps some kind of a Readme in Gitlab that can be edited as normal source files and committed to repository with version tag. When someone downloads source code he will also download requirements to the same version.

Jira version has a description field. Maybe putting there an URL to git repository README file with proper version tag will do the job. User clicks on Fixed in version, finds url and can read requirements.

[Aron Gombas _Midori_]

@s_gridnevskii 

Yes, it is a good idea. Git is great at versioning plain text (and binary) files, so you could describe your requirements in markdown and add images, diagrams, etc. as image files. It would still require a system of conventions (where to add them? what filenames? etc.).

Linking requirements to each other, browsing the req chain, do impact analysis is another story.

[s_gridnevskii]

@Aron Gombas _Midori_  maybe one of triggers in git could take the text file with requirements from current branch and post it as a page in confluence. This way both developers and managers could have same document in two different places.

Another option could be to involve AI agent to create tasks in Jira directly from requirements file, again triggered by git commit.

Dreaming further another ai agent could create code for these tasks and create branch in git to work with created code.

[Aron Gombas _Midori_]

@s_gridnevskii 

Your ideas slowly are converging to spec-driven development.

[Marion Lepmets _SoftComply_]

Agree 100%, @Halina Cudakiewicz_Deviniti_

The same is true for risk management, especially for product safety risk management that should live where the work is done, i.e. in Jira.

Having your requirements, quality and compliance management in a separate tool from your product development will make traceability and audit-readiness manual, i.e. time-consuming and error-prone. 

[Elena_Communardo Products]

@Halina Cudakiewicz_Deviniti_ Thanks for this great perspective! The “truth gap” is real, especially in regulated or safety-critical environments. Keeping requirements as native Jira issues makes traceability part of the daily workflow instead of an afterthought. The key is finding enough structure for compliance without adding so much overhead that teams stop updating it. Curious how others balance governance vs. developer adoption. 

[Halina Cudakiewicz_Deviniti_]

Thanks for the thoughtful replies. This is exactly the tension I’m exploring across my recent posts (I also shared another one on end-to-end traceability without slowing down devs, and the “compliance tax” problem in regulated teams).

@s_gridnevskii 

Totally agree that for many teams, Epics + Stories (plus a simple workflow) is enough. When the “requirement” is basically the story and the acceptance criteria, that can work well, especially if QA links bugs to tasks and you keep discipline in grooming and refinements.

Where it often starts to break is when you need to answer questions like:

• Which exact set of requirements did we verify for Release X or Variant Y?

• What changed since the last baseline, and what evidence must be updated?

@Aron Gombas _Midori_ 

Also agree with your points. Plain Jira is intentionally simpler than high-end RM systems, and in safety-critical work things like strict versioning/baselining and richer relationships for impact analysis are usually must-haves.

Quick question to both of you: in your setups, how do you handle baseline comparison and change impact today?

Happy to learn from your approaches, and also happy to share patterns we see teams use when they want Jira-native delivery plus stronger regulated RM controls.

[Halina Cudakiewicz_Deviniti_]

Thanks @Marion Lepmets _SoftComply_  and great point on risk management.

Out of curiosity, when you see teams bring risk management into Jira, what is usually the hardest part?

[Halina Cudakiewicz_Deviniti_]

Thanks @Elena_Communardo Products , that’s exactly the balance I’m interested in.

What we see in safety-critical projects is that heavy tooling often fails for a simple reason: developers stop updating it, and a truth gap appears between what the tool says and what the team is actually building. At the other extreme, documents and spreadsheets feel flexible, but they quickly turn into version hell and manual traceability.

The approach that tends to work best is “minimum governance, maximum visibility”:

• keep required fields and workflows small and practical,

• make traceability links part of normal Jira work (not an end-of-month/cycle task),

• and rely on live reporting/coverage views to highlight gaps early instead of forcing people into heavy admin steps.

Curious what you have seen in the wild: do strict approval workflows work better for adoption, or do lighter workflows plus strong reporting and checks keep teams more honest and up to date?

[Elena_Communardo Products]

hi @Halina Cudakiewicz_Deviniti_ In my experience, lighter workflows with strong reporting tend to stick better. When approvals get too strict, people often just update things to get past the gate. If gaps are visible and easy to spot, teams usually fix them without being forced.