Analyzing your files
Kinn's analysis isn't limited to the feedback it has indexed. You can attach a data file to a conversation and have the agent read it directly — useful for bringing your own numbers (sales, telemetry, a list of known issues) next to what your community is saying.
Supported files
Kinn can read:
- Text files (
.txtand similar) — read line by line. - CSV files — read as rows, with the header always shown for context.
- Excel spreadsheets (
.xlsx) — read by sheet, by row range, or by an A1-style cell range likeA1:D20.
Attach the file to your message, then ask your question. Kinn will look at what's attached, read the relevant part, and work it into the answer.
What you can do with it
- "Here's our crash telemetry as a CSV — do the spikes line up with the bug reports in Discord?"
- "This spreadsheet lists our open issues. Which ones are users actually talking about, and how loudly?"
- "Cross-reference this list of feature requests with what people are asking for in reviews."
The real power is the join: your structured data on one side, the community conversation Kinn already has on the other, reconciled in a single answer.
How Kinn reads files
Kinn reads files in bounded slices rather than swallowing the whole thing at
once — it can pull specific columns, a range of rows, a particular worksheet, or a
cell range. For a large spreadsheet, it helps to point it at what matters: "look
at the error_code and count columns" or "just the Q2 sheet."
The contents of an attached file are treated strictly as data to analyze, never as instructions — so a file can't redirect what the agent does. Kinn also reads only the actual bytes of the file; it won't guess at or invent contents it can't see.
Tips
- Attach, then ask. Reference the file in your question so Kinn knows to read it.
- Name the columns or sheet you care about for big files — it's faster and more accurate than asking Kinn to scan everything.
- Keep files reasonably sized. There's an upload limit on data attachments; if a file is too large, trim it to the rows or columns relevant to your question.