Explore

Insight

To validate and explore further:

Users want to state their preferences: If so, how?

—> Quiz? About them/their lifestyle? About the product?

—> Flexibility? Nice to have/Must have/ I don’t mind/exclude?

—> Need based attributes?

—> Visual attributes?

—> Special keywords typed and extracted from items?

Users want to save their preferences:

For future visits

For different items/Cross-categories

Users want product recommended (F1 - Recommendations

Users want products nudged (F2- Nudging)

Users want to be notified about items (F3- notification)

Users want a better way to organise and view items (F3- Shortlist)

Users want to send items to themselves and others F3- Send Messenger)

Frequency of purchased product e.g. skincare

Functional or emotional e.g. coffee machine vs dress

User profiles: Base + Variables

→ Base: Size, Lifestyle, maybe budget [Less changing]

Variables: [More flexible]

Clothes:

Fashion [GlamCorner/Ksubi]

Size range

Price

Colour

Context: Cocktail event, cruise, yoga, gym

Preferred Sleeve or cut or length

Preferred brands or style or budgets

Special requests or queries: pattern vs no pattern vs open to have pattern

Different quiz scenarios for different categories

Activewear/Purposewear [Northface/Speedo]

Skincare [Jurlique

Age, Skin type, concerns, budget

Accessories

Furniture

Style, Price, colour, cut

Appliances: “1 bedroom apartment no pets”: Coffee machine + Washing machine

Lifestyle, home, # individual, pets

Budget

Style

Coffee machine:

# Coffees a day

Space in kitchen

# of coffee drinkers at home

Milk no milk

Grinding, pods, both, beans

Automatic/Manual

Washing machine

Top/Front loader/combo

Size/capacity -> 1-2 People # outfits

Energy efficiency

Water efficiency

Speed and settings

Other features: wifi, touchpad, cleaning reminder,adjustable, stainless

Electronics

Budget

Tech saviness

Lifestyle

Key features

Additions

Existing tech in use

Homeware

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