Upload feedback that you
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First, tidy your old feedback so it’s ready for upload
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If you have feedback stored in other platforms and would like to centralise your feedback in one place, you can upload your data directly onto the platform. In order to do this, you’ll need to prepare your data to be ready for upload.
Get your feedback ready for upload
First you’ll need each column to represent a question. Feedier has many question types so find the best question type that matches your responses.
Add any meta data (known as attributes on Feedier) as separate columns (eg. location, name, created_at date).For any questions, have a survey setup and choose the question types you’d like to answer for each (Text, ratings and NPS are the most common)
Feedier uses the created_at attribute to backdate your feedback for you automatically.
Any rating questions can be converted into a number value ie. if someone answers very unhappy, unhappy, happy, very happy. 4 stars = 4
If you’d like to date feedback to a specific date you can use the DD/MM/YYYY format
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This is a scale of 1-4, where the respondant answered 4.
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If you need to upload multiple choice responses use the format option 1|option 2|option 3 |
Uploading your feedback on the platform
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Feedback → Imports → Create a new import → .CSV file |
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Click and drag
Select your csv file
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, and choose the column that relates to the submission date for your feedback.
We recommend to upload a maximum 10,000 feedback each time per upload.
The file must be .csv and the first line must be the header
Once your file is selected, you can select
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Map the feedback data
Examples
If Trustpilot:
Web Scrapping URL: https://uk.trustpilot.com/review/xxxx?sort=recency
Feedback item (CSS selector): div[class*='styles_reviewCard']
Feedback date (CSS selector): time#title
Pagination link (CSS selector): a[class*='pagination-link_next__']
If All agents:
Web scrapping URL -> https://www.allagents.co.uk/view-branch/xxx/yyy/reviews/
Feedback item (CSS selector): .agentReviewsWrapper
Feedback date (CSS selector): .agentReviewsWrapper .review_date meta#content
Feedback extend link (CSS selector): .reviewContent a
Pagination link (CSS selector): .agentReviewsPagination .pagination li:last-child:not(.disabled) a
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Connect your questions and attributes here
Now we need to match the data source with how Feedier will read the information.
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whether you wish to automatically create a survey, or choose from an existing survey on the platform.
In the next page, map your columns to the correct fields. Any existing attributes or questions will appear in the right dropdown
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Data source → Feedier data receiverdiv[class*='styles_reviewHeader']#data-service-review-rating -> Review Score
div[class*='styles_reviewContent'] p -> Review comment
a[class*='styles_consumerDetails'] > span -> attribute name
div[class*='styles_reviewContent'] h2 -> Review title
If AllAgents:
Data source → Feedier data receiver
.agentReviewsWrapper .reviewStarsMobile .reviewTitleText span span ->Review Score
.agentReviewsWrapper .reviewContent span -> Review comment
.agentReviewsWrapper .review_author span strong span -> Attribute Name
@xyz-> Attribute location
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If you are uploading an attribute that doesn’t exist on the platform, select ‘new attribute’.
Once you have selected all the fields you wish to download, click ‘complete’
The upload process can take up to an hour, and you can check on it’s progress within the upload page.