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Mass Upload highlights (CSV)
Mass Upload highlights (CSV)

Efficiently upload multiple highlights, such as survey results or data from systems lacking direct integration

Ronny avatar
Written by Ronny
Updated over a month ago

Overview

The Mass Upload feature in NEXT allows you to efficiently upload multiple highlights, such as survey results or data from systems lacking direct integration. By uploading a CSV file with the necessary data, you can quickly create highlights for each row.

Step-by-Step Guide

1. Prepare Your CSV File

Ensure your CSV file is formatted correctly. Each row should represent a separate highlight with these columns:

Column

Description

text

Quoted text for the highlight

title (optional)

Title summarizing the highlight. NEXT AI will generate the title if it isn't provided.

description (optional)

Description putting the highlight into context of the teamspace. NEXT AI will generate the description if it isn't provided.

recordedAt (optional)

Timestamp when the highlight was created. This must be in ISO 8601 datetime format (e.g. 2024-10-01T01:00:00.000Z).
The timestamp must have date, time, miliseconds and the timezone (e.g. Z).

tags (optional)

Tags assigned to the highlight. Multiple tags need to be separate by a newline.
Note: You must create the tags beforehand in the teamspace! This prevents the import from accidentally creating a huge amount of tags.

Example:

recordedAt,text,tags
2024-10-18T09:09:19.309Z,"First survey response.","Survey"
2024-06-13T12:00:00.000Z,"Second survey response.","Survey
second label"

If your data is in an Excel file, you can easily export it to a CSV format. For more detailed instructions, refer to this guide: How to Export Excel to CSV.

2. Uploading the CSV File to NEXT

  1. Log in to your NEXT account

  2. Navigate to the Highlights Library

  3. Click on the [Upload] button, and select the mass upload option

  4. Select your prepared CSV file from your computer

3. Processing the Upload

Once the CSV file is uploaded, NEXT will automatically:

  • Read each row of the CSV file

  • Upload each row as individual highlights

Troubleshooting

Common Issues

  • CSV Formatting Errors: Ensure your CSV file follows the correct format with text columns

  • File Upload Errors: Check your internet connection and try re-uploading the file

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