Why Mevali?
Short answers for skeptical teams. Mevali is for teams that want Agile collaboration without tracker-driven theater.
Why not Jira?
Jira is powerful general software. That power often turns into workflow design, screen schemes, plugins, and tool administration before the team gets to the work.
Mevali starts with the work teams actually discuss: who benefits, what it is worth, how the work is shaped, where it is stuck, and what the team needs to decide next. There is less to configure because those decisions are part of the product.
Feature usage concentrates sharply, so teams need to decide which stories deserve capacity. Every Mevali story names a persona and a Coins estimate, making user value easier to compare. Pendo 2019. Pendo 2024.
Have you seen Linear?
Yes. Linear is excellent software with a different opinion: lightweight issue tracking and a product execution model of its own.
Mevali's opinion is different. It models Scrum and Scrumban work directly: structured stories, personas, Coins, acceptance criteria, dependencies, planning, standup, review, and retro all operate on the same live backlog.
If your team wants Linear's philosophy, use Linear. If your team wants Agile collaboration with less ceremony and fewer workarounds, Mevali is built for that.
Didn't Scrum fail?
Scrum often fails in practice because teams inherit ceremonies without the support needed to make them useful. Mevali does not make a company Agile, but it removes common tool friction from teams that are trying.
- Refinement stays collaborative because decomposition and dependencies are easy to change live.
- Standup can focus on blocked or aging work instead of individual status reports.
- Review shows value delivered by persona, not just points completed.
- Retro improvements stay visible during the next period of work.
Events are optional. If your team skips one, the same reports and flow signals are still available.
Interruption research shows that even brief interruptions create a measurable resumption cost, and that longer, more demanding interruptions make suspended goals harder to resume. A ten-second action can stay inside the same planning thought. A multi-minute administrative sequence usually cannot. Monk, Trafton, and Boehm-Davis, 2008. Altmann and Trafton, 2002.
Aren't you putting teams on rails?
Mevali has opinions about the shape of the work, not the personality of your process.
Standup gives you a view by person and a view by work. Use either, or skip the event. Refinement offers planning poker. Planning offers a forecast that updates as the team commits, and Scrumban drops the commitment step entirely. Retro makes prior experiments visible without dictating a format.
Structure is what makes change cheap. A description blob feels flexible at first, then becomes tedious when the team needs to split, move, or reconnect the work.
Mevali intentionally has no free-form Description field. Work tracking is ephemeral and product documentation is persistent. When a tool encourages you to put details in both the Wiki and the work tracker you get inconsistency. Mevali holds the structured intent and links out to the documentation that outlives the ticket. Planned AI features will help update documentation directly from the work.
Isn't Scrum being replaced by the Product Operating Model?
The Product Operating Model and Mevali agree that shipping more work is not the same as creating more value. That is why every story names who benefits and what the work is worth.
Once a team knows which outcomes matter, the work still has to move. Mevali gives durable, cross-functional teams a Kanban surface, aging signals, blockers, refinement, review, and retro. Scrum teams can use Sprint commitments; Scrumban teams can keep the cadence without the commitment step.
Choose Scrum or Scrumban. You do not need a workflow designer, custom issue types, screen schemes, or a plugin stack to make either one work.
Doesn't AI make all of this process obsolete?
No. AI raises the value of clear structure. The same semantics that help people collaborate also give AI agents better context: persona, value, feature, story, acceptance criteria, blockers, and flow state.
AI also pushes more work toward review, acceptance, and judgment. Those queues still age. Mevali keeps flow visible so acceleration in one part of the system does not hide a bottleneck somewhere else.
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.