Get the dashboard you want, without the analyst you have to wait for

The elevator pitch

• Computer, by DevRev, lets any user build a dashboard on any object – tickets, accounts, conversations, the custom objects your team invented – without writing a query or waiting on an analyst.
• Click any number / fact and Computer gives you the exact data/records behind it. Add a new field or object and the dashboard just picks it up, no reconfiguration.
• Permissions travel with the data automatically, so access never needs separate setup. Private while you build, shareable the moment it's ready.

The dashboard you want is a ticket for someone else

You always know what you want to see in a dashboard. That part was never hard. You want a number, or a trend – and you can picture the chart in your head.

The hard part was everything between picturing it… and seeing it. The data lives in five places. Building it means creating a query you can’t write. So you describe what you want to someone who could, a very busy analyst, and you… wait.

By the time the dashboard comes back, the question that prompted it has often moved on. So you ask for one more change, and you… wait, again.

Those out-of-the-box AI dashboard builders were supposed to end this. But they report on a fixed handful of datasets – the tidy, expected ones. The moment your question touched something specific to how your team actually works, or you wanted to click a bar and see what was inside it, you were back in the queue.

So the people who knew exactly what they wanted to see were the ones who couldn't build it. That was the wall.

What it feels like when that wall is – gone

With Computer, by DevRev, you don't file a request and wait. You build the chart yourself, in the time it would have taken to write the request. Just by asking.

Strip it back, and the job is simple. Anyone who can describe what they want to measure should be able to:

• Report on any data they own, not just a preset list of datasets.
• Build it themselves, without writing a query or routing through an analyst.
• Trust that the chart and the records underneath always tell the same story.
• Keep the work private while they build, and share it the moment it's ready.

Most AI tools do one or two of these. Computer does all four – for any object, any dataset, any user – as long as they have the right permissions.

Now, any user can build a dashboard, without writing a SQL query or waiting two weeks on an analyst.

The same flow, whatever you're tracking

Say you want to see how your team handled tickets last month.

• Before: you file a request, describe what you want, and wait for someone with query access to build it.
• After: you pick what to report on, choose how to show it, and decide what to count and how to group it. Add a date range, save, and the chart is there.

Want a second view next to it, broken down by priority or account? Same handful of steps. A few charts in, you have a dashboard.

A support manager watching resolution times, a CSM tracking tickets per account, anyone who needs a number – they all follow the exact same path. Then you drag the charts around the canvas until it looks the way you think about the work.

It already knows how you work

Most tools report on the limited datasets that come out of the box. But teams also build custom objects the tool's makers never imagined. What about reporting on those?

Here, you can report on anything: tickets, accounts, conversations, code changes, and the objects your team built for the way it works. One dashboard holds them side by side – so a single view can show how a customer's sentiment shifted over time, right next to your team's resolution quality on those same tickets. Cause and effect, on one screen, for the first time.

And it keeps up with you. Add a new field to track something, and it shows up on the dashboard instantly, ready to chart – no rebuild from scratch. The dashboard follows the way your work evolves instead of freezing on the day it was made.

No more "the dashboard says one thing, the data says another"

Everyone has been in the meeting where two numbers disagree, and the next twenty minutes go to figuring out which one to believe.

That doesn't happen here. Click any bar and the exact records behind it open up. The count on the chart and the rows underneath are the same set, always, because one is drawn from the other. The dashboard can't drift from the truth, because it is the truth – just arranged so you can see it.

Yours to build, safe to share

A dashboard starts private. You build it, you sit with it, you get it right – all without an audience watching you figure out what you're looking at.

When it's ready, you share it. View-only for people who just need to read it. Editable for the ones building alongside you.

And sharing respects what each person is allowed to see. A dashboard is only ever as visible as the data inside it. Share one with someone who doesn't have access to the underlying objects, and the charts built on those objects simply don't render for them. They can't back into numbers they were never meant to see. Permissions hold at the level of the data, not just the dashboard – so the work stays yours while it's rough, goes wide the moment it's worth showing, and never outruns who's allowed to see what.

Moving off Zendesk Explore? Talk to us

The flow will feel familiar: pick the source, choose a chart type, set the axes, save. Two things are different – and they're the two that used to slow you down:

• Any dataset, not a fixed set. Explore covers a fixed set of datasets. DevRev covers any type of dataset in your workspace, including the objects your team built.
• Drill-throughs, built in. On Explore, clicking into a number to see the records behind it was something you wired up by hand, chart by chart, and maintained when things changed. Here it's just there. Click any chart and the exact records open right up – no special setup, no syncs.

Why this matters

The person who knows what to measure and the person who could build it used to be two people, with a queue between them. Now they're one person, with nothing in between.

So you check the hunch instead of filing for it. You change the chart the second the question changes – because the question always changes. The dashboard stops being something you request and wait for, and becomes something you think with.

See it for yourself

Book a demo and we'll build one live – from a blank canvas to a full dashboard.