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airbnb UX/ui  best practice

This is a design proposal for a flow based on the feedback from the guest. The goal is to accommodate the collection of more data points about the listing (things Airbnb cannot track automatically), while not disturbing the guest too much. Data such as how much time they spent in the accommodation during their vacation, missing amenities they would want to have, how much they think people should pay for the listing, etc.

pain points.

The current Airbnb review feature is already overloaded

(up to 14 pages for a full review depending on the device).

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End user needs to click “next” 15 times from the moment

he/she decides to write a review.

 

Some pages are populated not only with radio buttons but

dialog windows too, that can have up to 500 words.

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Airbnb end users with extreme opinions are more

motivated to share them than users with moderate opinions,

resulting in biased distributions of the reviews.

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End user is unaware of the durability of the process

and the time needed tocomplete the process.

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There are no clear steps or any other kind

of indication/guidance such asa progress bar.

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There is no benefit for the end user after completing

the full review procedure.

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End user finds the process overwhelming and too long,

too mechanical andrepetitive.

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best practice.

The best practice to collect more data points about the listings, would be to start providing incentives for reviews and/or for completing online surveys.
Providing incentives for more detailed reviewing has the potential to reduce the bias and to collect more accurate data.
Also Incentives can alleviate the motivational deficit of the end user. Communicating the objective of the new review process and oersonaly involving the user in the development of such, also would increase customer loyalty and strengthened the trust in the platform.

Segmentation of the review process into different groups and incentivizing the completion for each group. This practice gives an option to the end user to point out specific issues experienced during the stay, without having to go through the whole review process if they do not want to. They can always come back to complete the process and earn more incentives.
Like this we ensure the reduction of bounce rate, and Airbnb, even if partial, still collects some data in case there is bounce.

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By implementing the following we assure more solid data collection and better user experience:


1. Electronic Direct Marketing campaigns promoting incentivization for reviewing and emphasizing the importance of the users feedback.
2. In app notifications urging to act and review.
3. Dividing the review process into groups and gamification of the process.
4. Before engaging the user, adding indicators of estimated time for completion of the review process.
4. Once engaged, adding a linear progress bar with value or percentage and/or animations indicating the flow and user´s progress.
5. Adding Icons and digital ratings and feedback when succeded to compleate the review will show emphaty and emotional support.

Notification
urging to review

Segmentation,
gamification &

time estimate for each section

Linear progress bar with %

Final animation giving feedback to the user

© 2024 about IVO by IVO for IVO.

Just like Marc Jacobs.

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