Jasmine · performance dashboard
Helpshift performance for Jasmine. Tiles compare the latest complete day with the same weekday one week earlier; sparklines cover the last 30 days.
Daily metric trends
Total Issues Resolved
113
▼ 54.6% vs 7 days earlier
Total New Issues Received
117
▼ 53.6% vs 7 days earlier
Customer Satisfaction (CSAT)
4.33
▲ 9.6% vs 7 days earlier
Time to First Response
—
7 days earlier: 13h 29m 2s
First Contact Resolution
0.00%
▼ 100.0% vs 7 days earlier
Waiting on Agent
Jasmine · open issues waiting for an agent action · age in minutes since last update
| Id | Age (min) | Queue | Updated At | Last Resolved At | Tag 1 |
|---|---|---|---|---|---|
| 457190 | 4,170 | Default | 2026-10-05 19:47:29 | — | — |
| 460165 | 1,203 | Phone Number | 2026-10-07 21:14:45 | 2026-10-02 21:19:19 | ai_agent_assist |
| 462390 | 1,177 | Billing Issues | 2026-10-07 21:40:50 | 2026-10-07 20:13:27 | ai_agent_assist |
| 461635 | 1,073 | Phone Number | 2026-10-07 23:24:56 | — | ai_agent_assist |
| 461874 | 933 | Billing Issues | 2026-10-08 01:44:13 | — | ai_agent_assist |
| 458554 | 638 | Rent Redemption | 2026-10-08 06:39:46 | 2026-09-29 20:04:25 | ai_agent_assist |
| 462257 | 363 | Billing Issues | 2026-10-08 11:14:26 | — | ai_agent_assist |
| 458254 | 344 | Rent Redemption | 2026-10-08 11:33:32 | — | ai_agent_assist |
Hourly New Issues
Jasmine · last 3 days, UTC
Hourly Issues Resolved
Jasmine · last 3 days, UTC
Monthly metric trends
Last six months, current month to date.
Average Resolved Tickets Per Day
Jasmine · resolutions divided by days with at least one resolution
Monthly Avg CSAT
Jasmine · average customer rating, by month resolved
Monthly FCR
Jasmine · issues resolved at their first response, by month of first response · last 90 days
Avg of TTTR (minutes) by Month
Jasmine · minutes from creation to resolution, by month resolved
Monthly Average TTFR
Jasmine · minutes from creation to resolution for issues resolved in the last 90 days, by month created (labelled TTFR in Sigma)
Underlying Calculations
Jasmine · by month resolved
| Month | Avg TTTR (min) | Resolutions | Days worked | Per day | Avg feedback rating | Ratings |
|---|---|---|---|---|---|---|
| 2026-10 | 5,536.13 | 844 | 5 | 168.80 | 4.05 | 59 |
| 2026-09 | 6,694.07 | 3,838 | 21 | 182.76 | 3.88 | 342 |
| 2026-08 | 10,822.71 | 3,335 | 20 | 166.75 | 4.13 | 330 |
| 2026-07 | 17,875.84 | 740 | 5 | 148.00 | 3.70 | 54 |
| 2026-06 | 4,283.71 | 6,291 | 24 | 262.13 | 3.81 | 627 |
| 2026-05 | 2,932.05 | 7,440 | 26 | 286.15 | 3.95 | 978 |
TTFR
Jasmine · issues resolved in the last 90 days, by month created
| Month | Sum of TTTR (min) | Count of Id | TTFR |
|---|---|---|---|
| 2026-10 | 957,680 | 599 | 1,598.80 |
| 2026-09 | 21,532,084 | 3,567 | 6,036.47 |
| 2026-08 | 22,779,785 | 3,144 | 7,245.48 |
| 2026-07 | 33,855,604 | 1,433 | 23,625.68 |
| 2026-06 | 223,113 | 4 | 55,778.20 |
| 2026-05 | 212,635 | 2 | 106,317.71 |
About these numbers
The five daily tiles read Helpshift's agent analytics and the monthly and hourly charts read its per-issue analytics, the same sources the Sigma report used. The Waiting on Agent table is a count of the state at generation time. Recent months can sit slightly above a Sigma export taken earlier because issues keep being resolved. "Monthly Average TTFR" and the "TTFR" table are kept as Sigma built them: minutes from creation to resolution, not first response.