AI Report Writer
Turn notes and figures into a structured report — summary, findings, analysis and next steps, in Markdown you can paste anywhere.
Free to try — sign in when you generate.
A real run
What was entered
- What the report is about
- Q3 support performance
- Notes, numbers, anything you have
- Tickets: 4,820 (Q2: 4,310) Median first response: 2 h 10 min (Q2: 3 h 40 min) Customer satisfaction: 91% (Q2: 88%) Top issue: billing questions, 31% of tickets New help-centre articles: 18 Team: 6 agents; one hired in August
- Who will read it (optional)
- the leadership team
- Length
- Brief — one page
- Tone
- Professional
What came back, unedited
# Q3 Support Performance ## Summary Support handled 4,820 tickets in Q3, up 12% on Q2 (4,310), while improving on both speed and quality. Median first response fell from 3 h 40 min to 2 h 10 min and customer satisfaction rose from 88% to 91%. Billing questions remain the largest single ticket category at 31%. The team grew to six agents with one hire in August and published 18 new help-centre articles. Recommended focus for Q4: reducing billing-related contacts. ## Key findings | Metric | Q3 | Q2 | Change | |---|---|---|---| | Tickets | 4,820 | 4,310 | +510 (+12%) | | Median first response | 2 h 10 min | 3 h 40 min | −1 h 30 min | | Customer satisfaction | 91% | 88% | +3 pts | - **Top issue:** billing questions, 31% of all tickets. - **Self-service:** 18 new help-centre articles published. - **Team:** 6 agents; one agent hired in August. ## Analysis - Volume grew by roughly an eighth, yet first-response time improved by over 40%. Headcount growth and the expanded help-centre content are plausible contributors, though the material does not isolate their individual effect. - The satisfaction gain tracks the faster response time, consistent with speed being a key driver of customer sentiment. - Billing is a concentrated source of demand: nearly one in three tickets. This is the clearest opportunity to reduce inbound volume rather than simply absorb it. ## Risks - **Continued volume growth.** If tickets keep rising at the Q3 rate, the current team of six may not sustain the improved response time. [Q4 volume forecast needed] - **Billing dependency.** With 31% of tickets in one category, any change to pricing, invoicing or payment systems could sharply increase load. - **Ramp-up of the August hire.** The new agent's contribution is not yet reflected across a full quarter. [onboarding status needed] ## Next steps 1. **Analyse billing tickets** by sub-type to identify root causes and candidates for product or process fixes. Owner: [name needed]; due: [date needed]. 2. **Target help-centre content at billing** — prioritise the next articles on the most frequent billing questions. 3. **Set Q4 targets** for response time and satisfaction against the Q3 baseline. [targets needed] 4. **Review capacity** against the Q4 forecast to confirm whether six agents is sufficient.
Run on 2026-10-18 through this page’s own request, once per language; nothing edited.
How it works
- 1Paste whatever you already have — notes, numbers, bullet points
- 2Say who reads it and how long it should be
- 3Get a structured report; save it or download the Markdown
FAQ
Will it invent numbers?
It is told not to: anything the material does not contain is written as a marked placeholder like [figure needed]. Check those before sending the report on.
Can I get a Word or PDF file?
Not yet — the result is Markdown, which you can download and paste into Word, Docs or Notion. File export and conversion are being built.
Who owns what I create?
You do. We never train models on your work.
Is it free to try?
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