User Power
Value/Post Ratio
123%
- Dec 16, 2020
- 13
- 16
Problem : Fake ratings are a problem for platform's reputations, customer's times and money, small businesses and literally everyone involved
Idea: A website / chrome extension / app that would allow users to know how reliable a product's ratings are.
Use: Copy paste the product's link into the website, or clic the extension's button from the website, and you will be given a percentage describing how trustworthy this product's ratings are.
How : The service could screen how many ratings for how many start a product have, to detect sudden bumps in positive ratings, the distribution of good to bad ratings, and any other useful data to create the trust score. Somewhere in between yuka (allows users to scan a barcode to know how good that product is based on it's ingredients) and the wayback machine (takes snapshots of websites at different times for user to visit and see the changes over time), we could also use third party research to inform our decisions (ex independent research shows a third of amazon's reviews are fake)
Money : The service is free to use, but users can pay a monthly fee to delete ads and unlock premium features like seeing alternative better rated products, access to advanced statistics, or knowing which sites are the most trustworthy. We could also use our data and statistics to help platforms track fake reviews and give them advanced feedback on how to increase their trust score.
Personal : I have already used and learned about coding, and website creation, general design and I've always been good at maths
Idea: A website / chrome extension / app that would allow users to know how reliable a product's ratings are.
Use: Copy paste the product's link into the website, or clic the extension's button from the website, and you will be given a percentage describing how trustworthy this product's ratings are.
How : The service could screen how many ratings for how many start a product have, to detect sudden bumps in positive ratings, the distribution of good to bad ratings, and any other useful data to create the trust score. Somewhere in between yuka (allows users to scan a barcode to know how good that product is based on it's ingredients) and the wayback machine (takes snapshots of websites at different times for user to visit and see the changes over time), we could also use third party research to inform our decisions (ex independent research shows a third of amazon's reviews are fake)
Money : The service is free to use, but users can pay a monthly fee to delete ads and unlock premium features like seeing alternative better rated products, access to advanced statistics, or knowing which sites are the most trustworthy. We could also use our data and statistics to help platforms track fake reviews and give them advanced feedback on how to increase their trust score.
Personal : I have already used and learned about coding, and website creation, general design and I've always been good at maths
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