How to Build Daily Reports in Google Sheets & Excel

The Real Problem With Daily Reports

You probably already know you "should" keep a daily progress report. Maybe you even have a tab in Google Sheets or a tidy Excel file. The real friction is not design; it is the daily grunt work of filling it in, chasing updates, and keeping the structure consistent across a busy team.

A good system respects two truths:

• Humans are great at judgment and nuance.
• Machines are great at repetition and structure.

So we will start with a solid manual format, then show how to let an AI agent shoulder the repetitive parts at scale.

1. Design a Simple Manual Template

Start with one canonical template in either Google Sheets or Excel.

Include at least:

• Date
• Owner or team
• Task or activity
• Planned vs actual (time or outcome)
• Status (not started, in progress, done, blocked)
• Blockers and notes

In Google Sheets:

1. Create a new sheet named "Daily Progress".
2. Add headers in row 1 using the fields above.
3. Freeze the first row so headers stay visible.
4. Use data validation to make Status a dropdown with consistent values.

In Excel:

1. Open a new workbook and create a "Daily" tab.
2. Add the same headers.
3. Turn the range into a Table so filters and formatting stay consistent.
4. Optionally, add conditional formatting to color statuses.

2. Establish a Daily Ritual

A format without a habit is just a file on a server.

Pick one of these manual rhythms:

• Maker-style: Each person logs entries as they complete tasks.
• Manager-style: Everyone adds a short summary at the end of the day.
• Hybrid: Quick live updates plus a one-line EOD summary.

Give clear rules, for example:

• Every client-facing action gets at least one row.
• Every blocked task must include a next step.
• Updates are due 15 minutes before end of day.

This is the baseline your AI agent will later learn from.

3. Connect Other Systems (Still Manual)

Before automation, teach your team where data should come from:

• Calendar: meetings, demos, calls.
• CRM or project tool: pipeline moves, tickets completed.
• Email and chat: key conversations or approvals.

In your sheet, add a "Source" column, and maybe a link back to the original item. This makes the template a map of your day, not just a to-do list.

Pros of the manual phase:

• Everyone understands the structure and intent.
• You discover which fields you actually care about.
• You collect clean examples for the AI agent to imitate.

Cons:

• Time-consuming for busy sales and delivery teams.
• Easy to skip on chaotic days, which are precisely when you need visibility.

4. Automate Data Collection With an AI Agent

Once your format stabilizes, it is time to invite an AI computer agent in.

With a Simular-based agent, you can:

• Open browsers and apps like a human.
• Read email threads, CRMs, and ticketing tools.
• Write structured rows into Google Sheets and Excel.

A typical automated workflow looks like this:

1. At a scheduled time, the agent opens your CRM, calendar, and helpdesk.
2. It scans for items touched today (meetings, closed tickets, updated deals).
3. For each item, it extracts who, what, when, and outcome.
4. It converts that into a row following your daily progress format.
5. It writes those rows into the correct sheet or workbook.
6. It generates a short manager summary at the top.

Pros of AI-powered collection:

• Massive time savings across the team.
• Higher consistency in status and notes.
• Easy to scale from 3 people to 300 without changing the process.

Cons:

• Requires an initial setup and testing period.
• If your underlying tools are messy, the agent will surface that mess.

5. Hybrid: Humans Add Nuance, Agent Does The Heavy Lifting

The best pattern for most businesses is hybrid:

• The AI agent drafts the daily report from real activity.
• Humans quickly review, tweak phrasing, and add nuance for edge cases.

You can, for example:

• Reserve a "Highlights" section for humans to fill in.
• Let the agent maintain the raw task table in Google Sheets.
• Use Excel to generate polished pivots and charts from that data.

In this model, your team spends 5 minutes editing context instead of 45 minutes reconstructing the day.

6. Scaling Across Clients, Projects, and Teams

Once the first workflow is stable, you can clone it:

• One sheet per client, plus a master roll-up.
• One Excel file per team, with an agent feeding each file.

Because an AI agent can follow the same clicks and keystrokes millions of times, adding a new project is often as simple as copying a template and adjusting a few rules.

Over time, your daily progress reports turn into a living dataset of how your business actually runs. And instead of burning human hours on copy-paste, you keep them focused on strategy, storytelling, and decisions.