Track daily support ticket volume for trend reporting

Each day, the system counts your support tickets and saves the totals so you can track trends over time.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig(["daily schedule triggers check"]):::trigtime s0["check support desk"]:::task s1["count tickets by group and status"]:::task s2[("save totals to database")]:::store trig --> s0 s0 --> s1 s1 --> s2 out[/"daily ticket count stored for trends"/]:::out pay{{"visibility into rising or falling volume"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepA record or sheetResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
Reporting & Analytics
Connects
ZammadElasticsearch

The problem it solves

You want to know if support ticket volume is climbing or your team is falling behind, but pulling those numbers by hand every day isn't realistic. Without a running history, you can only guess whether things are getting better or worse. You need the counts captured automatically so the trend is always there.

Who it fits

Support managers and operations leads who want a running history of ticket volume without manual tracking.

How it works

  1. Every day at a set time, the system checks your support desk
  2. It counts all tickets across every group and status
  3. The daily totals are saved to a historical database
  4. You can pull up the trend anytime in your reporting tool
What you get

Ticket trends you can spot at a glance

You get a running history of support ticket volume you can pull up anytime to spot trends.

What you get

A daily record of ticket counts, stored so you can chart trends over time.

What you need

A Zammad support desk account and an Elasticsearch database.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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