Generate Weekly Support Reports as Spreadsheets — Automatically

The report itself is genuinely useful. The making of it is pure overhead. This post walks through how to remove that overhead entirely — by having an AI agent pull a week of tickets, compute the numbers, and generate a formatted Excel report on a schedule, then drop it in the channel where your team actually looks.

Macha is the AI agent layer that sits on top of the helpdesk you already run — Zendesk, Freshdesk, Gorgias, Front — so this isn't a new tool to migrate to. It reads from the same Zendesk you use today and writes a spreadsheet you can open in Excel or Google Sheets. Let's get into what a good weekly report contains, why the usual automations fall short, and how to build this one.

What belongs in a weekly support report

Before automating anything, it's worth being clear about what the report should answer. A weekly support report exists to tell a lead, in one glance, how did the queue go last week and what changed? The metrics that earn their place:

That list lines up with how most published frameworks define a good support report — Shopify's customer service report guide, for instance, builds around initial response time, first-contact resolution, ticket volume, and CSAT. The hard part was never knowing which metrics to track. It's the weekly grind of assembling them.

Why the usual automations stop short

There's no shortage of ways to move Zendesk data into a spreadsheet. The catch is that almost all of them give you raw rows, not a report — and several need a second product or a developer to maintain.

Every one of these solves data movement. None of them does the part you actually wanted: read the week, do the arithmetic, write a clean multi-tab spreadsheet, and hand it over — without you in the loop. That's the gap an agent closes, because an agent can both fetch and reason and produce a file in one run.

How Macha builds the report

The whole thing is one Macha agent with two connectors and a schedule. Here's the shape of it.

1. Connect Zendesk and File Tools

Macha reads tickets through the Zendesk connector and writes the spreadsheet through File Tools — a built-in connector that generates Excel (.xlsx), CSV, PDF, and Word files on the fly, with no external service to wire up. You connect Zendesk once (it's the same instance your team already works in), and File Tools is available immediately.

2. Give the agent its runbook

The agent's job is a short, ordered runbook. You can describe it in plain language and let the AI agent builder assemble the tool calls, then tighten the wording:

1. Search tickets — query Zendesk for everything created in the last 7 days.
2. Get ticket details — pull status, timestamps, assignee, tags, and CSAT for each one so the math is real, not estimated.
3. Compile metrics — volume, resolution rate, average first-response and resolution times, CSAT, top topics, and a per-agent breakdown.
4. Create spreadsheet — generate an .xlsx with separate Summary, Tickets, Agent Performance, and Topics sheets via File Tools' Create Spreadsheet action.
5. Share file — post the report where the team reads it (a Slack channel, an email, or a link).

Because this is an agent rather than a fixed script, the "compile metrics" step is genuinely flexible — if you decide next month that you also want median (not just average) resolution time, or a split by brand or channel, you edit one sentence of instructions instead of rewriting a query.

3. Put it on a weekly schedule

Add a scheduled trigger so the agent runs itself — the canonical setup is every Monday at 9:00 AM, so the report is waiting when the team logs in. No one has to remember; no one has to be in the office.

You can see and manage every recurring run from the schedules view, so it's obvious at a glance that the Monday report is live and when it last fired.

That's the entire build: two connectors, a five-step runbook, one schedule. Nothing to host, no pivot tables to maintain.

What the agent actually delivers

When the trigger fires, the agent does the work and posts a short summary alongside the attached file. A real run over a single week looked like this:

Weekly Support Report — Mar 17 to Mar 23 - Total tickets: 312 - Resolved: 298 (95.5%) - Avg first response: 8 min - Avg resolution time: 1.8 hours - CSAT: 96% - Top topics: Account access (42), Billing (38), Setup help (31) Full report attached as weekly-support-report-mar-24.xlsx with detailed breakdowns by agent, topic, and day.

The message is the headline; the spreadsheet is the detail. The .xlsx carries four tabs — a Summary with the top-line numbers and week-over-week deltas, a Tickets sheet with the row-level data behind them, Agent Performance broken out per assignee, and Topics ranking what drove volume. Anyone can open it in Excel or Sheets, sort it, or pivot it further — it's a real file, not a screenshot of a dashboard.

The "top topics" line is worth a note: because the agent reads each ticket rather than just counting tags, it can group themes even when tagging was inconsistent — which, on most real Zendesk instances, it is. If you'd rather lean on existing tags, instruct it to; if you'd rather it infer themes from content, it can do that too.

When not to reach for this

Honesty matters more than a clean pitch, so a few caveats:

• You need true historical BI, not a weekly snapshot. If your real goal is multi-quarter trend lines, cohort analysis, and slice-and-dice dashboards, a dedicated tool like Zendesk Explore or a warehouse + Looker setup is the right home. Macha's report is the recurring operational summary, not your analytics warehouse.
• Your "metrics" are highly bespoke and SLA-contractual. If a number feeds a contractual SLA credit calculation, validate the agent's math against your source of truth before you trust it blind — as you would with any automated report.
• Volume is enormous and you want every ticket every week. Reading thousands of full tickets each run consumes credits (Macha bills per AI action). For very high volume, scope the agent to the fields it actually needs, or sample, to keep the run lean. This is the same trade-off any per-usage tool makes — it's just visible up front.

For the common case — a team that wants a reliable, shareable, formatted weekly report without building it by hand — this is squarely the right fit. And because Macha already lives on top of your Zendesk, the same agents that resolve and triage tickets live tickets are the ones generating the report, so the data and the automation share one home.

Cost, briefly

There's no separate "reporting" SKU. The agent spends credits per AI action like everything else in Macha — roughly 0.5 to 9 credits per step depending on the model you choose, with the default GPT-5.4 Mini at 1 credit. A weekly report over a normal queue is a handful of actions, so it's a small, predictable line item. You can see plans and credit allowances on the pricing page, and you can build and test the whole flow during a 7-day free trial, no credit card required.

FAQ

Can it write to Google Sheets instead of an Excel file? The native output is a generated .xlsx (plus CSV, PDF, or Word) via File Tools — openable directly in Google Sheets. If you specifically need rows written into an existing live Sheet, connect Google Workspace and point the share step there instead.

What metrics can it include? Anything derivable from your tickets — volume, resolution rate, first-response and resolution times, CSAT, top topics, and per-agent breakdowns are the defaults. Because you instruct the agent in plain language, adding or removing a metric is an edit, not a rebuild.

Does this replace Zendesk Explore? No — and it's not meant to. Explore is your BI surface for deep, interactive analysis. This agent produces the recurring, shareable spreadsheet that lands in your team's channel every week without anyone exporting anything. They're complementary.

How is it triggered? A scheduled trigger — weekly on a day and time you set (Monday 9:00 AM is the common choice). You can also trigger it on demand when someone asks for an ad-hoc report.

Do I have to leave Zendesk? No. Macha is a layer on top of your existing helpdesk. It reads the same Zendesk your agents already use; you're not migrating data anywhere.

Build your first one

If the Monday report is currently a person and a fragile spreadsheet template, this is the cleanest thing to automate first — the requirements are obvious and the payback is immediate. Start a 7-day free trial, no credit card required, connect Zendesk and File Tools, give the agent its five-step runbook, and put it on a weekly schedule. See the use-case library for more agent recipes, or the docs for the full build walkthrough.

Written by Abbas (Customer Support & AI, Macha) · Reviewed by Ankeet Guha (Co-founder & CTO) · Published 2026-06-24 · Last updated 2026-06-24.