Why not other products like Jira?

Lots of reasons!

Jira is to Scrum as Excel is to Accounting

On the one hand it offers lots of configuration, integrations, plugins, and general features. On the other, it is bland general software not specifically crafted for Scrum process or to serve Agile principles, so you get inefficient workflows, inconsistent process, and disengaged team members who dread using the tool.

The cost is measurable

A case study of a large software organization found employees spending an average of 14.5 hours per week in scheduled meetings, with almost 30% of that time perceived as wasted — roughly 230 hours per employee per year. Stray, Moe, Bergersen, and Kirkerud, HICSS 2023.

Worse than the time lost, it breaks creative flow and destroys engagement. When a user spends 8 minutes of a 60 minute meeting watching the facilitator type or struggle to find the right menu item, they check out.

Your portfolio and project managers may love Jira's integrations and high level reports. Ask the teams actually doing the work whether the tool makes them productive. The answers do not usually match. Then go talk to your Scrum masters, if you have them, and ask whether the team is actually practicing the process or just performing it.

No other product has user outcomes as a central focus

We find that odd. There are persona plugins for Jira but they are second class citizens. We have not found a product that requires both a persona and a value estimate on every item, and integrates that into workflows. Design fundamentally starts with understanding persona and relative value.

More important in the AI era

Google's 2025 DORA research tested whether a user-centric focus changes what teams get out of AI. It does: with one, AI's benefit to team performance is amplified. Without one, AI adoption has a negative effect on team performance. "In the absence of a user-centric focus that prioritizes meeting the needs of end users, AI adoption can hurt your team's performance." DORA 2025.

Most other products make you refresh to find out what changed

Mevali is real-time and collaborative. When one person edits a story, everyone else sees it happen. When someone starts editing a piece of acceptance criteria, or a story, or a feature, or an area, the interface shows everyone else that somebody is touching that thing.

Didn't Scrum fail?

It is factually incorrect to say that Scrum failed if it was practiced in name only. We doubt you will find a Scrum master who would say "The team practiced Scrum proficiently and lived Agile principles, but they decided to abandon it." The truth is

  • Scrum is hard to practice with other tools.
  • Agile principles are sometimes blocked by corporate leadership and culture. Mevali cannot help if an organization is spiritually Waterfall and claiming Agile. However, if a company uses Mevali, you can bet they truly want to live Agile principles.

Let's break down the procedural failure points that Mevali fixes.

The events are boring, performative, and not actionable

Quite frankly they are often soul crushing, when they were designed to be invigorating and inspiring.

Standup is supposed to be about collaboration but almost always devolves into everyone going around and giving a status report or justifying their employment. While not true to the spirit of the process, it happens more often than people want to admit.

  • If you want to keep the team format for standup, Mevali will show most, if not all, of the status report information, which alleviates the need for a book report each morning.
  • If you want to manage the work instead (preferable), the Work tab shows the team exactly where there are impediments, aging, or at risk work. Then the team spends standup navigating the sprint together.

And if you want to skip Standup altogether in favor of immediate DMs, great! Go for it. You might be missing an opportunity for the team to surface blockers at a determined point and decrease the risk of interruptions and context switching.

Grooming meetings often involve minutes of the facilitator fighting with the UX which is why a lot of Scrum masters encourage using a physical whiteboard and not a software tool. Mevali provides a real-time collaborative surface and a Work Breakdown Structure that is so easy to manipulate that grooming remains a fluid and engaged process.

Planning and commitment meetings are also both boring and often used as a tool of shame rather than team empowerment.

  • Mevali's Monte Carlo simulation and statistical analysis improve your chances of delivering without the false precision of a Gantt chart, and with better outcomes than simply comparing a number.
  • Mevali's user outcomes focus gives executives something more meaningful to consider when reviewing team output than just story points.

Retro is the most performative in our experience. At the end of every sprint the team gathers around and opens the notes from the last retro for the first time since the last retro! No one thought about process improvements during the sprint and no one recorded any metrics or artifacts to justify a claim that a process succeeded or failed. Mevali makes retro process improvements and ideas visible during Standup and at any point during the sprint.

We deploy constantly, so why use Sprints?

That conflates release cadence with team cadence. Continuous integration and deployment govern how finished work is validated and reaches users; a Sprint gives the team a period to focus on a Sprint Goal, then inspect the product and improve how they work. A Scrum team can deploy many times during a Sprint!!! We know that a lot of companies consider them synonymous with release cadence but that is a failure of realization and not of Scrum. The Sprint Review is not a release gate, and continuous delivery does not eliminate the need for shared goals or regular adaptation. A Sprint just declares a period of time the team will focus on a goal and after which consider how they might improve.

Stories are underspecified

Teams benefit from stories that have a Who, What, Why and Acceptance Criteria. Other products provide a big blob of Description text which is stifling for the product owner (blank canvas syndrome) and often leads to underspecified work.

Decomposition is a HARD in other products

Scrum masters implore teams to decompose larger work to improve agility, transparency, deliverability, and more. However, doing so in other products is both HARD and clearly a second class citizen.

Before AI it would take minutes to use Jira or Azure DevOps or others to decompose a Story into an Epic of Stories and then set up all of the dependencies and blockers between those stories. AI alleviates the pain of that _initial_ decomposition but…

  • The context of the larger work is buried in the UX, so teams lose visibility. It feels like the Story is the thing and the Feature is some distant relative.
  • The initial decomposition is rarely the end of the story. Changing dependencies remains a nightmare. Changes in decomposition are also difficult. It often happens that a product owner brings a decomposed Feature to the team and the team discovers that the split was less than ideal considered along domain or technical seams, so the work has to be re-organized. Other products don't have a solution for that. In Mevali it is a few drag/drop operations and maybe a click or two.

Doesn't AI make all of this process obsolete?

First, Mevali's AI Position and Plan

Structured content first, AI as augmentation. The same semantics that guide human collaboration and empower single click workflows will serve AI agents just as well. So we are working from the premise that the model is important for all agents: biological and digital.

Ideas we like, in no particular order
  • Paste the Area paragraph you were going to write anyway. Mevali proposes the split: this line is a constraint, these three are acceptance criteria, that one is an open question.
  • Read the four acceptance criteria you wrote and suggest the one or two you missed.
  • Check whether an acceptance criterion is really a story, or whether some of the stories under a Feature are really acceptance criteria.
  • Triage an imported Jira backlog into structured work.
  • Draft retrospective success criteria from what the team actually said.

Now which processes exactly?

Scrum events. Do you have a team that can benefit from communicating well? If you have collapsed your teams to single individuals then team process is irrelevant and if collapsed to two person pods then less relevant. Great. But a lot of work benefits from teams of people working together, and Scrum is just a process tool for doing that well.

Kanban. AI increases the rate at which work arrives at human judgment. It does not increase the rate at which humans judge. That is the whole story, and it does not depend on what your columns are called: wherever a person has to look at something and agree to it, that is where work now piles up. Code Review and Acceptance are the obvious candidates, and you cannot hand either one to the thing that produced the work.

Queues do not degrade politely. A review stage running at 80% of capacity still has slack to absorb work that arrives in bunches; at 95% it has almost none, so each new item waits behind everything that piled up ahead of it. Waiting time scales with u/(1-u), which means that last stretch of load multiplies the wait roughly fivefold instead of adding a fifth to it. More code produced per engineer means more review volume, permanently.

Work still ages. It just ages in review instead of development, and it is easier to spot than it used to be, because when most items clear in hours the one sitting for a week is obvious. Mevali shows age on the card, alerts past the 70th percentile for comparable work, and flags WIP per person, because the constraint is an engineer's attention rather than a column's capacity.

This is measured

Google's 2025 DORA report, drawing on nearly 5,000 technology professionals, found that AI adoption now raises delivery throughput but still lowers delivery stability, because acceleration outruns downstream validation. What separates the teams that benefit is the discipline of visualizing and improving flow; without it the gains are "absorbed by downstream bottlenecks." DORA 2025. GitClear's analysis of 211 million changed lines found refactoring fell from 24% of changed lines to under 10%, while copy/paste overtook it for the first time on record. GitClear 2025.

Still skeptical?

Good. The useful half of a demo is usually the part where you push back.