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Dashboards and ticket work

The Client Dashboard

The Client Dashboard shows one client's ticket health, risk, users and open tickets, with an AI analysis of the relationship and a prediction of what comes next.

Written By Chris Scaminaci

Last updated About 1 hour ago

The Client Dashboard gathers what QuantumOps knows about one client: how healthy their tickets are, how risky the account looks, who the users are, what is open, and what the AI expects next. Technicians and managers open it before a client call or a review.

Before you start: the dashboard opens inside HaloPSA. Opened straight from a browser address bar it shows Access Denied, and it does not ask you to sign in to QuantumOps. Figures come from the tickets QuantumOps has analysed for the client. See The Ticket Dashboard in HaloPSA for how a single ticket is scored.

Open the dashboard

You can reach it in several ways:

If your organisation uses the QuantumOps launcher tab in HaloPSA, the Open in the QuantumOps web app button on the launcher card opens this dashboard when the tab is on a client record; see The QuantumOps launcher tab in HaloPSA. The browser extension shows the same information in its Client tab; see Client, User and Agent tabs.

Read the top bar

The header shows the client's name and, where they apply, the VIP Client and High Risk badges. A bell beside them shows the active Q-Notices for the client; select it to list them. See Q-Notices.

The header buttons are Back to Ticket # (only when you came from a ticket), Chat with Qubit and Refresh.

A client dashboard: six counters across the top, Client Health and the client overview in the middle, the Risk Assessment on the right, and the users beside the open tickets below
The two health figures measure different things: this client has 100% average ticket health and a 62% Overall Health Score

Six counters sit under the header:

CounterWhat it shows
Total TicketsEvery ticket on record for the client.
UsersHow many users the client has on record.
Avg HealthThe average health score of the client's open tickets that have a score.
Open TicketsTickets that are open now.
Active AlertsOpen tickets with a sentiment or tonality alert. See Sentiment and tonality alerts.
Stale TicketsOpen tickets that have gone quiet.

Check health and risk

Three cards sit side by side.

Client Health shows the average health of the client's open tickets as a gauge, labelled Excellent (80 or more), Good (60 to 79), Fair (40 to 59) or Needs Attention (below 40). Under it, Ticket Health Distribution shows how many of the client's open tickets fall in Excellent, Good, Fair and Poor. Each screen bands the health score differently, and Needs Attention here means a different range from NEEDS ATTENTION on the Ticket Dashboard; see Where the score shows.

Client Overview splits the account into two groups and adds a score:

  • Ticket Metrics: Total Tickets, Avg. Clear Time and Avg. Response Time.
  • Performance: Avg. Ticket Life, Total Interactions and Negative Feedback, which counts the tickets that raised a sentiment or tonality alert.
  • Overall Health Score: one bar for the whole relationship.

The Overall Health Score is not the average of the ticket health scores, which is why it can read 62% beside an Avg Health of 100%. It averages up to five separate judgements, each worth 100 at its best and falling to 80, 60 and then 30 as the figure worsens:

JudgementBest band
Average response time2 hours or less
Average clear time4 hours or less
Average ticket life1 day or less
Negative feedback as a share of ticketsnone
The High Risk flagNot set. When it is set, a fixed 40 joins the average.

A time measure that has no figure yet does not take part. A client with the High Risk flag therefore cannot reach 89%, however well the queue runs.

Risk Assessment shows a risk level (Low, Medium, High or Critical) and the factors behind it: VIP Client, High Risk Flag, Alert Tickets and Negative Feedback, each with a count or a tick. The level rises with the High Risk flag (which weighs the most), the VIP flag, more than two alert tickets, any negative feedback, and an average health below 60. Beneath the factors, AI Risk Analysis gives a short reason when the AI analysis has one.

Review users and open tickets

Users lists up to the 20 users with the most tickets, with their ticket counts and a star for a VIP user or a warning for a high-risk user. Select a user to open their User Dashboard. No users found appears when QuantumOps has no users on record for the client.

Open Tickets lists the 15 newest open tickets with their ID, Summary, Health, Age and Alerts. A red mark in Alerts means a sentiment or tonality alert, and a clock means the ticket is stale. Select a row to open the Ticket Dashboard for it. No open tickets appears when the client has none.

Read the AI analysis

The lower part of the page is written by AI from the client's tickets. Use with care. AI profiles are inferred from ticket text, so check them before you rely on them.

CardWhat it shows
Comprehensive Client ProfileExpandable sections about the client, such as a business, technical and support profile. Select a section to open it (Click sections to expand). Which sections appear depends on what the analysis produced.
Comprehensive AnalysisFour columns: Predicted Volume (tickets expected next week and next month), Key Insights, Risk Assessment (potential issues with a likelihood) and Actions (recommended actions).
AI InsightsShown instead of the card above when the client has a stored insight but no prediction yet: Key Challenges and Recommendations.
Ticket Volume TrendTickets created in the last 90 days, by day, with Total Tickets (for those 90 days, so it can be lower than the counter of the same name), Daily Average (over the days that had tickets) and Peak Day.
Trends, Analysis Metrics, Potential Issues, Recurring IssuesPatterns the analysis found, with the tickets they come from. Analysis Metrics adds Avg. Resolution Time, Resolution Trend and Avg. Actions/Ticket. They appear once an analysis has covered some tickets.
Memory GraphFacts that support memory holds about the client, with a count of active and superseded facts. It appears when support memory is enabled for your organisation, the client has facts, and QuantumOps has verified who is viewing. See Support memory.

When there is no analysis yet, an AI Predictive Insights card appears in place of Comprehensive Analysis. It reads No Insights Available and tells you to select Refresh. Ticket Volume Trend still shows. While the AI works, the columns read Generating... or Analyzing....

Refresh the analysis

Different figures update in different ways:

  • The counters, health figures and metrics are recomputed in the background every 30 minutes. A dashboard that is open updates when new figures arrive.
  • The AI analysis refreshes by itself when you open the dashboard and the stored analysis is more than a day old.
  • Refresh re-runs the AI analysis now. It uses AI, so it counts toward your organisation's AI usage: use it when you need fresh insights, not on every visit.

While it runs, the page shows AI Analysis in Progress. If the refresh could not finish, or had nothing to analyse, a line above the analysis says so. When the client has no open tickets, for example, the stored analysis is kept and the line says that.

Chat with Qubit about the client

Chat with Qubit opens a chat about this client in a new window. See Chat with Qubit from a HaloPSA dashboard.

If the page does not load

Loading Client Data appears while the page fetches the client. Unable to Load Client Data appears when it cannot, with a Try Again button. The page reports the failure rather than showing an empty dashboard, which would look like a client with no tickets.