Filtering: Available Filters Flashcards

Product Lists & Filtering

1
Q

What purpose do filters serve in the context of online shopping?

A

Filters enable users to refine their product search and see only the items that match their individual needs and interests.

It’s the e-commerce equivalent of walking into a physical store and asking the salesperson for “a brown mens leather jacket in size medium.”

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2
Q

What is a crucial prerequisite for effective filtering in online shopping experiences?

A

A prerequisite for effective filtering in online shopping is having a wide range of filters available. This allows users to drill down into specific features and product aspects that are important to them and align with their unique interests and preferences.

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3
Q

How do thematic and symptom-based filters in online shopping resemble browsing patterns observed in physical retail?

A

Thematic and symptom-based filters in online shopping, such as style, use context, season, value for money, and recipient demographics, align closely with users’ browsing patterns observed in physical retail. These filters reflect subjective criteria that users often consider when making purchasing decisions and may require some judgment calls in the categorization process to accurately represent user preferences and interests.

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4
Q

What are some common filter types that are frequently used across various industries in online shopping experiences?

A

Common filter types that are frequently used across various industries in online shopping experiences include price, user ratings average, color, size, and brand. These filters are consistently chosen by the majority of participants across multiple rounds of testing and are often the first filters selected, indicating their importance in facilitating user navigation and decision-making.

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5
Q

What was the consequence of not providing certain filters that participants needed and expected to use during online shopping experiences?

A

The consequence of not providing certain filters that participants needed and expected to use was that some users were unable to tailor the product lists to their specific preferences. Consequently, the product lists became cluttered with too many irrelevant items, leading to a less efficient and satisfactory browsing experience.

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6
Q

What challenges do users face when presented with a list of items that don’t match their preferences?

A

When presented with a list of items that don’t match their preferences, users are required to mentally eliminate irrelevant items as they scan through the list. This process can divert their focus from assessing potentially suitable products and may cause them to overlook items that meet their needs. Additionally, it increases the time and effort required for users to perform a thorough evaluation of products.

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7
Q

What are the five essential filtering options that should generally always be included on product lists (when applicable)?

A

Price, User Ratings Average, Color, Size, and Brand

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8
Q

What was the common behavior observed among participants regarding their budget preferences during testing?

A

During testing, participants typically had a predefined budget in mind for their purchases, and almost all expressed a desire to consider only items that fell within their affordable range.

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9
Q

What did a quantitative study on reasons for checkout abandonment reveal, and how does it relate to user expectations regarding price filters in e-commerce sites?

A

The quantitative study on reasons for checkout abandonment revealed that the total cost was the primary reason for abandonment, with half of the respondents citing excessive cost. Additionally, almost half of the respondents stated that lower prices were a key reason for shopping online. This data suggests that users prioritize affordability when making purchasing decisions. Furthermore, the high usage rate of price filters during testing, coupled with their wide availability on e-commerce sites, indicates that users have come to expect these filters to always be available. Consequently, users are surprised and dismayed when price filters are not provided, as they rely on them to tailor their shopping experiences according to their budget preferences.

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10
Q

Why is the capability to filter products by user ratings considered crucial in online shopping experiences?

A

The ability to filter products by user ratings is crucial as it facilitates the assessment of product suitability. By filtering products based on user ratings, shoppers can quickly identify items that have received positive feedback from other users, helping them make more informed decisions and choose products that are likely to meet their expectations in terms of quality and satisfaction.

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11
Q

What significant factor do almost half of users cite as a primary reason for preferring online shopping over physical stores?

A

Almost half of the users cite the availability of user reviews and ratings as a primary reason for preferring online shopping over physical stores. This underscores the importance of user feedback alongside other factors such as lower prices, indicating that the ability to access and consider reviews and ratings significantly influences consumers’ decision-making processes in online shopping.

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12
Q

How do users typically perceive ratings when assessing the quality or value for money of products, particularly when they lack confidence in evaluating these aspects themselves?

A

Many users consider ratings as a reliable indicator of good quality or value for money, especially when they feel uncertain about their ability to assess these aspects themselves. By relying on ratings provided by other users, individuals can gain confidence in the overall quality and perceived value of a product, helping them make more informed purchasing decisions.

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13
Q

How do user reviews impact decision-making on different types of retail sites?

A

User reviews have varying levels of influence on decision-making across different types of retail sites. Specifically, on direct-to-consumer (DTC) sites, user reviews were found to be less influential compared to traditional larger retailers. This suggests that filtering by reviews may not be necessary on many DTC platforms.

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14
Q

What impact does offering only a limited number of generic filters have on the user’s ability to narrow down product choices?

A

Offering only a few generic filters can limit the user’s ability to effectively narrow down product choices. This can result in a time-consuming and frustrating shopping experience, as users may need to sift through many irrelevant items to find what they are looking for.

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15
Q

How do specialized filters tailored to specific product categories enhance the user experience?

A

Specialized filters tailored to specific product categories enhance the user experience by allowing users to find products that meet their specific technical or aesthetic requirements. For example, filters like “Processor Type” for laptops and “Sleeve Type” for dresses enable users to narrow down their search to products that match their precise needs within each product category.

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16
Q

What is the initial step for determining which category-specific filters to include on a website?

A

When considering what category-specific filters to include, sites should first work out what attributes users consider important. To get started with creating the necessary category-specific filters, it’s important to have all product specs data properly structured and correctly tagged, and to ensure that specs are consistently applied across products

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17
Q

What methods can be employed to determine which category-specific filters to include on a website?

A

Search log data could be analyzed to find out if any patterns suggest which specs are looked for most frequently, competitor sites could be checked to see what category-specific filters are provided for products they sell, and sites could also survey their own users, asking which product specs are most important to them. (Remember, that for a good search experience it is key to provide category-specific filters before users have selected a product category (also known as faceted filtering)

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18
Q

Which of the following are appropriate category-specific filtering options for a product list featuring only apparel?

A

“Material”, “Fit”, “Occasion”, “Sleeve Length”, “Activity” (for sportswear), “Heel Height”, “Overcoats for Fall”

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19
Q

Which of the following are appropriate category-specific filtering options for a product list featuring only Electronics & Office?

A

“Compatibility”, “Use”, “Screen Size”

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20
Q

Which of the following are appropriate category-specific filtering options for a product list featuring only Home & Hardware?

A

“Use”, “Capacity”, “Features” — such as “Dishwasher Safe”, “Heat Resistance”

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21
Q

Which of the following are appropriate category-specific filtering options for a product list featuring only Houseware & Furnishing?

A

Configuration”, “Arm Style”, “Extension Type”, “Switch Type”

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22
Q

Which of the following are appropriate category-specific filtering options for a product list featuring only Health & Beauty?

A

“Concern”, “Symptom”, “Benefits”

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23
Q

Which of the following are appropriate category-specific filtering options for a product list featuring only Sports, Toys, & Hobbies?

A

“Age Range”, “Gender”, “Handlebar Shape”

24
Q

How do category-specific filters assist users, especially those who are new to a product category?

A

Category-specific filters educate users about the key attributes of different products, particularly when these attributes are not prominently displayed in the product list information. This is especially helpful for new shoppers in a category, as it allows them to quickly understand and navigate the available options based on their specific preferences and needs.

25
Q

How do specific filters like “Heat Resistance” for cookware benefit users on online stores?

A

Specific filters like “Heat Resistance” for cookware benefit users by informing them about important product features they might not have been previously aware of. This helps users understand what factors to consider when making a purchase, enhancing their awareness of product attributes and aiding in informed decision-making.

26
Q

How do category-specific filters serve users unfamiliar with a certain product type?

A

Category-specific filters act as a guide for users unfamiliar with a product type, helping them understand which attributes are important in the selection process. This guidance is crucial for making informed decisions, particularly in specialized categories where users may lack prior knowledge.

27
Q

What user behavior during testing suggests the importance of shopping for items on sale?

A

During testing, participants actively sought out discounted items, indicating that many consumers prioritize shopping for items on sale.

28
Q

How does the absence of a ‘Sale’ filter impact users’ ability to find discounted items?

A

Without a specific ‘Sale’ filter, users may find it challenging and time-consuming to locate good deals amid a sea of regularly priced products. A dedicated filter streamlines this process, making it quicker and more effective.

29
Q

Why might sorting by “Price: Low-High” not effectively highlight discounted products?

A

Sorting by “Price: Low-High” may not effectively highlight discounted products because these items, even though reduced in price, could still be more expensive than other non-discounted items in the list. Thus, discounted items may not appear at the top of the sorted list.

30
Q

Why should sites always provide “On Sale” filters when there are products available at discounted prices?

A

Sites should always provide “On Sale” filters when there are products available at discounted prices because it allows users to tailor the product list to contain only discounted items. This makes it easier for users to assess and compare these products, ensuring they can find good deals more efficiently.

31
Q

Users often want to find products on sale, but nonsale items shown in the product list can slow product finding. How can you speed up the sale product-finding experience?

A

Provide a “Sale” or “Deal” filter type, and ensure that it is always visible in the filter interface (e.g., don’t hide it in a “Price” filter type”.

32
Q

Why is it difficult when you don’t isolate sale items in the product list?

A
  1. Users looking for bargains will have to scan through product lists that contain both full-price and discounted items, looking for labels or other indications that some products are discounted.
  2. Even if the “On Sale” labels are clear, the presence of nonsale products clutters the list, making it harder to compare the discounted items because the nonsale items get in the way.
  3. If “on sale” labels in list items are not easy to discern, product finding is even slower as users have to first work out which items are indeed discounted.
33
Q

What is sorting product lists by “Price: Low-High” not as helpful to users when locating deals?

A

While discounted products are lowered in price, they are not necessarily the lowest-price items in a given product list. In fact, a discounted product may still be more expensive than many other items and would therefore not necessarily appear at the top of a list that has the lowest-price items sorted to the top.

34
Q

How does the availability of “On Sale” filters benefit users when shopping online?

A

The availability of “On Sale” filters allows users to tailor the product list to contain only discounted items. This enables users to assess and compare these products more easily, helping them find good deals more efficiently during their online shopping experience.

35
Q

How can the visibility of “On Sale” filters impact user interaction with online shopping platforms?

A

If “On Sale” filters are not easily visible when users scan available filters, they may overlook them, assuming they are not present. Placing “On Sale” filters among other filter types, without requiring users to expand additional interface elements, ensures their visibility and encourages users to utilize them effectively during their shopping experience.

36
Q

To accommodate users wanting to view only discounted products, what type of implementation should be used when designing a filtering interface for a product list?

A

An “on-sale” filter option should be displayed alongside other filter categories.

37
Q

How can “Product Status” filters enhance the user experience on online shopping platforms?

A

By offering “Product Status” filters, sites enable users to filter out items with statuses that may impact their purchasing decisions, such as delivery, collection, or condition. This ensures that product lists align with users’ expectations, facilitating easier comparison and assessment of items. Additionally, users are less likely to select items that may be satisfactory but have statuses that render them unsuitable for their needs.

38
Q

What are the common availability filter statuses?

A

“Out of Stock”, “No Available Online”, “ In-Store Only”

39
Q

What are the common shipping availability filter statuses?

A

“1-Day Shipping”, “In-store Pickup”, “Free Shipping”

40
Q

What are the common condition filter statuses?

A

“New”, “Refurbished”, “Open Box, “ Used”

41
Q

How can online shopping platforms enhance user experience by promoting important shipping status filters?

A

Online shopping platforms can improve user experience by promoting important shipping status filters, such as popular delivery or pickup options, both above the product list and within the filtering interface. By prominently displaying these filters, users can quickly locate and apply them, especially on mobile devices where accessing the filtering interface may be less convenient. This approach streamlines the filtering process, making it easier and quicker for users to find products that match their preferred shipping options.

42
Q

What type of online shopping platforms are recommended to implement “Product Status” filters, and why?

A

“Product Status” filters are recommended for online shopping platforms that restrict users’ purchasing options based on product statuses, such as “Sold Out” or “Out of Stock” items. These filters allow users to easily exclude products with undesirable statuses from their search results, ensuring a more efficient and satisfying shopping experience.

43
Q

In what scenario are “Product Status” filters less crucial for online shopping platforms, and why?

A

“Product Status” filters are less crucial for online shopping platforms that don’t display product statuses but instead increase dispatch times for out-of-stock products while still allowing users to purchase them. In this scenario, the purchase restrictions are less severe, and users can still complete their purchases, albeit with longer wait times.

44
Q

What is a core issue with predefined numeric range filters, and what advice is recommended to address this issue?

A

The core issue with predefined numeric range filters is that they may not always match each individual user’s needs, potentially leading to a product list with too many items. To address this, it is recommended to provide both text fields and predefined values for numeric filters.

45
Q

What are the three main issues that affect users trying to filter product lists by numeric attributes?

A
  1. Unsuitable Predefined Numeric Filter Ranges
  2. Single-Value Numeric Filters
  3. Range Sliders
46
Q

What options do users have to address the issue when predefined numeric ranges don’t align with their intentions while filtering the product list by a numeric attribute?

A
  1. They could choose a predefined range that included their intended range. However, the filtered product list would contain unsuitable items.
  2. If their intended range overlapped two or more predefined ranges, users would have to select multiple ranges, again ending up with many unsuitable items in the product list.
47
Q

What challenges did participants encounter when attempting to use range sliders to set an acceptable range for price or any numeric filtering value during testing?

A

Participants encountered difficulties controlling range sliders during testing. Many found that accurately setting the range took several attempts, and some were unable to define a suitable range at all. This made the task of defining a suitable price range unnecessarily challenging.

Furthermore, the issues with range sliders can be more severe on mobile. During mobile testing it was observed that, due to the size of the hit areas and the spacing in slider interfaces. many participants found it hard to tap accurately on small slider handles. Indeed, sometimes tapping on a handle had no effect because the tap was slightly off target.

48
Q

What is the best solution for numeric filtering ranges?

A

Provide Text Fields. The best solution for users who are looking to filter products is to allow them to define their own ranges by filling open fields to define either end of the range.

When users have the option of defining their own numeric ranges, they can tailor the product list to their needs, regardless of what ranges are predefined.

sometimes users may want to set only a maximum or minimum value of a range. Supporting this behavior allows users to target the filter at “all values below” or “all values above” a specified number.

49
Q

What is the significance of providing both predefined ranges and text fields for numeric filters?

A

Offering both predefined ranges and text fields for numeric filters is crucial as it supports each user’s exact filtering needs while also providing guidance on typical filtering ranges. Predefined ranges help users understand the range of prices available and make informed decisions, especially when they lack knowledge about the product range. Text fields allow users to input specific values that align precisely with their filtering criteria, ensuring greater flexibility and accuracy in filtering.

50
Q

What issues did users encounter during testing when trying to filter product lists by numeric attributes?

A
  1. Poor predefined numeric filter ranges
  2. Single-value numeric range filters
51
Q

What is the best solution for filters when users are buying products for others, and they may not always know which items would be suitable?

A

Have “Recipient” filters such as age and gender for sites where the site visitor isn’t the recipient of the product (typically - but not limited to - toys, flowers, and gift sites.

52
Q

How do users typically navigate the challenge of buying a product for someone else when they lack sufficient information about the recipient’s preferences?

A

When users are uncertain about what might be suitable for someone else, particularly if the recipient’s demographic or interests differ significantly from their own, they may struggle to begin the search for a gift.

53
Q

Why might it be challenging for e-commerce sites to implement age and gender filters?

A

Acquiring recommended age range or gender data for an entire product catalog can be a substantial task for e-commerce sites. While age data is commonly provided by manufacturers for products like toys, games, and movies, gender specification is typical for apparel.

54
Q

What methods might e-commerce sites use to implement age and gender filters for their product catalog?

A

Implementing age and gender filters may require manual tagging on a product-level basis or for entire categories/subcategories. Alternatively, user-generated content like customer reviews can be leveraged to systematically collect age range, gender, or usage scenario data.

55
Q

What are “Recipient Filters”?

A

“Recipient filters” are filtering options provided on e-commerce websites that allow users to specify the intended recipient of a product. These filters enable users to narrow down their product search based on factors such as age, gender, or specific demographics of the person they are shopping for.

56
Q

How can “Recipient” filters enhance the effectiveness of other filtering options on e-commerce sites?

A

Recipient” filters, when combined with other recommended filtering options like price range, “New Arrivals,” and “User Ratings” filters, can significantly enhance the user’s ability to find suitable products.

When combined, these enable the user to get a highly tailored and curated list without ever having to specify or be limited by a product type — for example, a product list at a toy site filtered by “Boys”, “Age 8-11”, “New Arrivals”, “Price: $40–$50”, and then sorted by “User Ratings: Low to High”.

57
Q
A