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Google Mail
OpenAI
Coda
playbook Template

Copy an email with a negative sentiment to Coda, when a new email is received

This automation will analyze every new email's sentiment and save the ones that have a negative sentiment to a Coda table.

This is a Bardeen playbook. It's a pre-built automation template you can run in one-click to perform a repetitive task. Get started with our free Chrome extension.

How does this automation work?

When email received
Trigger
Analyze sentiment
Action
Add data to Coda table
Action

Bardeen's workflow automation enables businesses to monitor their email communication for customer sentiment, identifying any negative feedback and addressing it proactively. This process uses advanced sentiment analysis to evaluate incoming emails, ensuring that any negative sentiments are quickly saved to a Coda table for further action. This is essential for customer service and product development teams that rely on customer feedback to improve their offerings and maintain positive customer relations.

Here's how this workflow identifies negative sentiment in emails and saves them to a Coda table:

  • Step 1: Email reception: When a new email is received, Bardeen triggers an analysis of the email content to determine its sentiment.
  • Step 2: Analyze sentiment with OpenAI: The body of the email is analyzed using OpenAI's sentiment analysis to determine if the sentiment is negative. This step requires the Coda document and table where the data will be stored.
  • Step 3: Save to Coda table: If the email is identified as having negative sentiment, the details are saved to a specified Coda table. Coda acts as a flexible canvas that can adapt to various business needs, from project management to CRM.
Run this Coda automation with Bardeen in minutes.

How to run the playbook

Do you struggle with managing a high volume of emails every day, often feeling overwhelmed and unsure which ones to prioritize? This automation can help! It analyzes the sentiment of every new email in your inbox and automatically saves any emails with negative sentiment to a Coda table.

With this automation, you can streamline your email management process and be confident that you're not missing any important messages, while avoiding wasting valuable time sorting through irrelevant emails. This tool is suitable for various use-cases, including managing customer support requests, tracking feedback from a team project, or simply staying on top of your personal email.

Let’s set it up! 

Step 1: Set up a Coda table

The first step is to set up a Coda table with all the information you want to store from an email.

Bardeen will analyze every email and save the ones that have a negative sentiment to this database, when your setup is complete. It will capture information like subject line, email body, sender, link to the email, date the email was sent and sentiment.

Step 2: Set up the automation

Click the “Try it” button at the top of this page to get this automation saved. If it’s your first time using Bardeen, you will be redirected to install the extension.

If you haven't previously integrated Coda and Gmail, you will need to do so.

Bardeen will ask you to specify a Coda table to store the emails with a negative sentiment. After you choose the database, you will get a prompt to map the information to the fields in Coda.

The left side consists of all the fields Bardeen will scrape for you. On the right side, specify the fields in Coda that you want to associate with the information on the left. If you don’t want a piece of information, leave that field empty, and it will be skipped. That’s it!

Step 3: Try it!

Make sure the automation is activated (toggled on).

💪 Pro Tip: Pair this automation with our other playbooks like Save labeled emails to Coda, including attachments stored on Google Drive or Copy all Google Calendar events during a time frame to Coda to stay productive!

You can also edit the playbook and add your next action to further customize the automation.

Find more Coda integrations, Gmail integrations, and Coda and Gmail integrations.

You can also find more about how to effectively use Coda, how to increase your personal productivity and automate your product development process.

Run this Coda automation with Bardeen in minutes.

Available actions & triggers

Apps:
Copy an email with a negative sentiment to Coda, when a new email is received
Copy an email with a negative sentiment to Coda, when a new email is received
Copy an email with a negative sentiment to Coda, when a new email is received
Types:
Both
Actions
Triggers
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Action
Create OpenAI composed email from text
Create OpenAI composed email from text
Action
Add data to Coda table
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Action
Generate recruiting email
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Action
Generate code
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Action
Extract table from text
Extract table from text
Action
List entities and types
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Action
Rank items from criteria
Rank items from criteria
Action
Find email thread from current page
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Action
Delete email
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Action
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FAQs

Bardeen - Playbook / Autobooks: Is it possible to create a Playbook that scrapes data from a website and sends it as an email attachment?

You can create a Bardeen Playbook to scrape data from a website and then send that data as an email attachment.

Youtube: Can I download a Youtube video to my computer using Bardeen?

Unfortunately, Bardeen is not able to download videos to your computer.

Google Sheets: What is the best way to export data to Google Sheets?

Exporting data (ex: scraped data or app data) from Bardeen to Google Sheets is possible with our action to “Add Rows to Google Sheets”.

Meetings: Is there a playbook to record and summarize meetings?

There isn't a specific AI use case available for automatically recording and summarizing meetings at the moment

Playbooks/Autobooks: How do I edit an action in a Playbook or Autobook?

Please follow the following steps to edit an action in a Playbook or Autobook.

Scraper: How can I get data from multiple sections of a profile (Eg: getting the experience section on a linkedin profile)?

Cases like this require you to scrape the links to the sections and use the background scraper to get details from every section.

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