Tell Netiva how your queue works and it builds a web app for tickets, priorities, response targets and reopened work — with a live preview and code you own.
Build a customer support dashboard for eight agents handling email, chat and web-form tickets. Store tickets with subject, contact, channel, queue, priority and a status: New, Open, Pending customer, Escalated, Solved. Log every reply and internal note with its direction, author and time, and let a reply solve a ticket or reopen it. Keep first-reply and resolution targets per priority, counted in business hours. Show an open queue sorted by longest wait, a list of tickets due to breach today, a backlog split into age buckets and a weekly report of volume by channel.
Most support teams can say how many tickets arrived yesterday and not which ones are quietly aging. A shared inbox hides priority, a ticket count hides the customer who has been waiting since Friday, and “how are we doing on response times?” turns into an afternoon of exports. A support dashboard built with Netiva keeps tickets, replies, escalations and the target each ticket is measured against in one place, so every shift triages from the screen everyone reads and the weekly numbers come out of the work itself.
Tickets from email, chat and your request form land in one list. Sort it by how long the customer has been waiting, filter to your own queue and save that view, so every shift opens on the same screen.
Set a target per priority, and a tighter one for customers on a priority support plan. Each ticket is measured against the target that matches it, in business hours, so an email that lands at midnight is not four hours late by morning.
Open tickets grouped by age — under a day, one to three days, three to seven, over a week — with the reopen rate beside them, so a pile that is building shows up before customers start chasing.
The app emails the lead a breach-risk list each morning and a Monday summary of last week. Contacts sign in to a page holding only their own tickets, which is where most “any update?” emails would have gone.
Netiva keeps your records in built-in collections. Here’s a starting structure — the agent adapts it to your prompt, and you can change it any time.
The people who write in, with the company and support plan behind their targets.
One record per request, from the first message through to the solve.
Every message on a ticket, public or internal, in the order it happened.
The promise behind each priority, and the hours it is counted in.
Required field. Types are Netiva collection field types.
A typical first version. Ask the agent for more, or annotate the preview to change any of them.
Everything not yet solved, oldest wait first, with filters for queue, priority and owner and a saved view per team.
Your teamTickets whose first-reply or resolution target falls due in the next few hours, plus anything already past it, with the time left on each.
Your teamThe thread with internal notes, the contact’s recent tickets, the target it is measured against and the actions to reply, escalate or solve.
Your teamOpen tickets in age buckets — under a day, one to three days, three to seven, over a week — split by queue so a growing pile is obvious.
Your teamOpened, solved and still open, volume by channel, median and slowest first reply by priority, and the reopen rate.
Your teamA signed-in page where a contact reads only their own tickets, adds a reply and opens a new one.
Signed-in usersTell Netiva which channels customers write in on, the statuses you work through and how you set priority. The agent drafts collections for contacts, tickets, replies and targets, and puts the queue on screen while you watch.
Enter first-reply and resolution hours per priority, the business hours they are counted in and any tighter target for a priority support plan. Add today’s open tickets in the collection grid, or have the assistant draft them.
Triage real tickets in the live preview: reply, escalate, solve, reopen. Annotate anything that reads wrong — a filter that is missing, a column nobody uses — and the agent changes it while you carry on.
Publish in one click, invite agents to sign in and turn on the morning breach-risk email. Later changes are checkpointed, so an edit that slows the queue down can be rolled back.
| Criterion | With Netiva | Traditional build |
|---|---|---|
| Daily triage | A queue ordered by priority and waiting time, with the target on every ticket | A shared inbox where the loudest email gets answered first |
| Response-time reporting | Medians and breach counts that move as agents work the queue | Exporting tickets into a spreadsheet at the end of the month |
| Getting started | Describe what you need in chat and watch it take shape in a live preview | Hire developers, or stitch together templates, plugins and a hosting plan |
| Content and data | Built-in collections with nine field types, bound straight to your pages | Set up and connect a separate database or CMS |
| Making changes | Ask the agent; every change is checkpointed and reversible | File a ticket, wait for a sprint, redeploy |
| Hosting and domain | Global hosting and automatic SSL; connect a custom domain from the Starter plan | Buy hosting, then install and renew SSL certificates yourself |
| Code ownership | Clean production code you own and can export | Locked into a template, plugin or agency setup |
Billing questions and technical faults have different owners and different promises. Each queue gets its own saved view, and customers on the priority support plan are measured against the tighter first-reply target without anyone having to remember who they are.
Volume triples for six weeks and two temporary agents join. The backlog screen shows the pile by age rather than by count, so the team clears the oldest orders first and the lead can see the week it comes back under control.
Every client contract carries its own response times. The dashboard reports first reply, resolution and reopens per client company, which is the evidence the quarterly service review asks for anyway.
Netiva apps send email; they do not collect it. Tickets start from the request form the app publishes, from an agent typing one up, or from your help desk provider if it offers a REST API you can call with a key stored securely.
The app records a ticket for a call or a chat session and keeps the thread beside the rest, but it is not a phone system or a chat widget. Log the ticket after the conversation, or pull the transcript in through that provider’s API.
An agent who answers from a personal mailbox and never adds the reply makes a fast ticket look slow. Agree that public replies go through the app before you report on first-reply times to anyone outside the team.
Each signed-in user sees their own records rather than an agent role, so keep internal notes and the team screens off the customer page and decide what a contact should be able to read before you publish.
From the ticket’s Opened at to the first reply logged as a public reply, counted in the hours on the matching response target. Internal notes are ignored, so a note to a colleague does not stop the clock. Set the target to business hours and a message that arrives at midnight is measured from the next working morning instead.
Yes. Contacts sign in and read only their own tickets, with the thread, the status and a box to reply. You can also publish a request form that opens the ticket and emails back a number to quote. Internal notes and the team screens stay off that page, so decide what a contact should see before you publish it.
That is what the response targets collection is for. Each row pairs a priority with a first-reply time, a resolution time and an optional support plan, so an urgent ticket from a priority customer can be held to two hours while the same priority on the standard plan gets eight. Edit a row and later tickets follow it.
A reply that sets the status back to open returns the ticket to the queue and marks it reopened. The original solve stays on the record, so last month’s resolution figures are not rewritten, and the week’s reopen rate counts it. A rate that climbs in one queue usually means first answers there are guesses.
Netiva builds web apps that run in the browser, so an agent opens the same queue on a phone with nothing to install. The list puts the longest waits first, and the ticket page keeps the thread and the reply box together, which covers a quick answer between other work on a busy day.
Yes. Netiva writes clean production code that you can read, edit and export whenever you want, with no proprietary runtime, and every change is checkpointed so you can compare versions or roll back. Teams often keep the reporting screens after moving the queue itself, since the history sits in collections they control.
Drafted with AI assistance from Netiva’s product pages and reviewed by the Netiva team. Example data models, screens and prompts are illustrative starting points, not customer projects.
Describe it in a sentence and watch Netiva’s agent build it. Free to start — no credit card required.