Filters on website


Universal filters narrow results by common features such as price, colour, or popularity. However, you also need to include filters that vary by category. This could mean "Fit" or "waist height" under "Pants" when shopping for clothes, or "Happy Hours" or "Good for Dancing" under "Nightlife" while browsing restaurants.
One rule of thumb to discover category-specific parameters: It's worth including everything in the product description.

Filter offers highly detailed category related filters. This is especially useful when specifying a huge number of items.
Category-specific filters also have the advantage that they are educational points for people with less experience

Allow multiple selections
Decisions may not be based on a single data point. Whether we know exactly what we want (we are interested in a restaurant that has outdoor tables, pets and vegetarian dishes) or we know only what we do not want (we are not interested in loud music), it makes sense to allow Choose multiple filters at once. This will allow the user to narrow their search quickly and easily.
Allowing multiple choices work better for slower connections. The sad fact is that you intend to select two or more filters to see the page slowly reload slowly with each selection.

Use real-world language
Filters should be designed based on the actual behaviour of users. Think about how someone would ask a dress seller or a group of friends to choose a vacation rental home. The language used to model these choices should be the filter language.
For example, when going to a clothing store, we are unlikely to require a Fit & Flare, Shift or Bodycon dress. However, these are the filters in the Chumbak online store. You'd better look through their entire dress category and mentally see what's appropriate and what's not (this one is too short, this one is long sleeved ...). In this case, there are only 35 items to browse, but it would not be manageable with higher results.

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