Hand summaries and updates to an AI workflow
A flow drafts the text, extracts the key points and updates the tracker; the team just reviews.
- n8n
- Python
- Notion
Every email awaiting a reply becomes a tracked line: response times are measured, overdue follow-ups flagged and the response rate shown in a dashboard.
Example scenario. This project describes a typical engagement. It is not a real client’s story: it shows how I go about it and what you can expect. For example: automated follow-up tracking and a response-time dashboard.
Quotes go unanswered because nobody followed up, and nobody knows how long customers wait for a reply. Without numbers, there is no way to tell whether it is a one-off or a weekly problem.
With the team, I list the exchanges to track (quotes, requests, complaints) and the expected response time for each.
An n8n flow logs every exchange in a tracker, with no re-typing.
Every day, response times are recalculated and due follow-ups are flagged to the right person, with a message template to review.
Response time, overdue follow-ups and response rate, by person and by week, for the team review.
No follow-up depends on someone’s memory any more, and the team knows how long its customers wait for a reply.
The flow plugs into your current mailbox, Outlook or Gmail, and the tracker lives in an Excel file. The dashboard can stay in Excel or move to Power BI, depending on your licences.
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