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Coda · Excel Guide

Pull Coda Doc Analytics Into an Excel Workbook for Workspace Reporting

The Scenario

You are a content operations lead. Your team manages 30 internal Coda docs across the company. Every Monday you report to the head of ops on which docs are active and which are gathering dust.

The goal: identify docs worth investing in and flag ones for archiving. The head of ops wants the data in an Excel workbook so it can be formatted for the board report.

The bad version of every Monday morning:

  • You open Coda's analytics panel for the first doc, write down views and sessions
  • You open the next doc, repeat
  • By doc fourteen you have made a transcription error
  • By doc twenty-two you are running late for the ops sync
  • You walk in with an incomplete table and a hunch that the engineering wiki is probably popular.

The fast version is one prompt.

The Easy Way: One Prompt in SheetXAI

SheetXAI is an AI agent inside your Excel workbook that calls the Coda analytics API and writes a clean summary table directly into the workbook.

Open the SheetXAI sidebar and type:

List all Coda docs I have access to, fetch their analytics for the last 30 days, and write doc name, total views, sessions, and copy count into this workbook as a summary table sorted by views descending.

SheetXAI calls Coda, iterates across all 30 docs, collects the 30-day analytics, and writes the table. You walk into the ops sync with real numbers.

What You Get

A summary table with one row per Coda doc:

  • Doc name — as it appears in Coda
  • Total views — 30-day window
  • Sessions — 30-day window
  • Copy count — 30-day window
  • Sorted by views descending — highest engagement first

Fresh from the Coda API at prompt time. No manual entry, no transcription errors.

If the head of ops wants a re-sort by sessions, or the top 5 called out separately, you add one more instruction.

What If the Data Is Not Quite Ready

Analytics reports usually need more than a raw dump. SheetXAI handles the additional analysis in the same prompt.

When doc names have inconsistent team prefixes

Some docs start with '[ENG]', others with 'Engineering -', making the table look disorganized.

List all Coda docs I have access to and fetch analytics for the last 30 days. Before writing to the workbook, normalize doc names by stripping any leading team prefix in brackets (e.g. '[ENG]') and trimming whitespace. Write cleaned name, views, sessions, and copy count sorted by views descending.

When you want week-over-week comparison instead of a 30-day snapshot

The head of ops wants to see whether engagement is trending up or down this week.

Fetch Coda doc analytics for the last 7 days and the 7 days before that. Write doc name, this-week views, last-week views, and the numeric change into this workbook. Sort by this-week views descending. Flag docs with a week-over-week drop of more than 30% in a 'Declining' column.

When you only want docs owned by the product team

The board report covers only product team docs, not the whole company.

Fetch analytics for the last 30 days for all Coda docs where the owner email contains '@productteam.com'. Write doc name, owner, views, and sessions into this workbook sorted by views descending.

When you need the full table plus a highlights tab for the exec presentation

The ops team gets the full table. The exec gets a single tab with the top 5 and bottom 5 docs.

Fetch analytics for all Coda docs for the last 30 days. Write the full table into the 'All Docs' tab of this workbook sorted by views descending. Then create a 'Highlights' tab with two sections: the 5 docs with the most views and the 5 docs with the fewest views, each with doc name, views, and sessions.

The pattern: the analytics pull and the summary are one prompt.

Try It

Get the 7-day free trial of SheetXAI and open any workbook, then ask it to pull Coda doc analytics for the timeframe and grouping you need. The Coda integration is included in every SheetXAI plan. For related workflows, see how to generate a Coda doc inventory report in Excel or the Coda in Excel overview.

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