Zomato, as the name does not suggest, is an app that addresses your food needs. You can use Zomato to order food online from the 3,00,000 + restaurants and have it delivered to you in no time. You can also via Zomato book tables at restaurants and get amazing offers when you pay via Zomato at the restaurants.
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Attribute | ICP 1 | ICP 2 | ICP 3 | ICP 4 |
---|---|---|---|---|
Name | Arijit | Chirag | Sanjeev | Rajesh |
Age | 22 - 28 | 22-35 | 28-42 | 22 - 40 |
Income level | 40k to 60K | 40K to 1L | 1L + | 40k + |
Education level | Graduate/Postgraduate | Graduate/Postgraduate | Postgraduate | Graduate/Postgraduate |
Career stage | Early | Mid | Senior | Early to senior |
Location | Urban pockets of India | Metro cities | Metro cities | Metro cities |
Personality | Tech savvy, adventurous, convenience seeking, Avid reader/moviegoer | Seeks comfort & peace, traveller, likes to try unique things | Comfort, traveller, seeks new experience, foodie | Stick to the usual, Does not like off-beat things |
Marital status | Unmarried | Unmarried/Married | Married | Unmarried/Married |
Kids | None | None/Yes | Yes | None/yes |
Healthy food concern | Little | Moderate | High | Moderate to High |
Reason to use Zomato | Lunch/dinner is needed during office hours or post office | When too lazy to cook | Try something interesting | Only in emergency or celebration |
Prefered time to use zomato | Afternoon | Night | Not specific | Not specific |
Prefered day to use zomato | Weekdays | Weekends | Mostly weekends | Not specific |
Food preference | Light and fulfilling | Satisfying and enjoyable | Something new | Not Specific |
Pick one - Dal rice/ Biryani/ Pizza/ salad | Dal rice | Pizza/Biryani | Salad | Biryani |
Frequency | High | medium | Low to medium | Low |
favourite restaurant type | Indian food, fast food, Restaurants offering combo meals | Comfort food, gourmet, speciality restaurant | None | None |
Average order value | 180 to 300 | 400-600 | 400-600 | 500-600 |
Max willingness to pay per meal (delivery) | 350 to 400 | 800-1000 | 1100-1200 | ~700 |
Android/iPhone | Iphone | Android/iPhone | Android/iPhone | Android/iPhone |
Avg. time spent to decide what to order | 15-20 mins | ~20mins | ~15mins | ~10mins |
Deal maker | Discount | Offers/Discount | New dish/restaurant | Discount/Delivery time |
Deal breaker | Delivery time | spending too much time to decide | Poor ratings | Too many options/ Time to decide |
Like to go out for meals | Occasionally | Often | Often | Occasionally |
Do you book tables? | Does not usually book | yes | Yes | No |
Social media usage | Moderate to high | moderate | Low | Low to High |
Who decides which restaurant to go | Friends | Wife/Girlfriend/friends | Partners together | Himself/Family |
Factors to select a restaurant | Distance to & fro, Cuisine, is it trendy currently, Prices | Vibe, ambience, photogenic, Food options, does it offer anything new | Online reviews, speciality, Likely experience | Distance to & fro, Influencer opinion |
Do you like to stick to one restaurant or try new things? | Order - stick to a bunch of restaurants Dine out - Explore | Try different things | Explore | Stick to a few |
You go out mostly with? | Colleagues | Girlfriend/wife | Family | Family |
Do you cook? | Rarely | Yes | Yes | Yes |
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Goal | Tags | ICP 1 | ICP 2 | ICP 3 | ICP 4 |
---|---|---|---|---|---|
Primary | Functional | To fulfil the usual lunch and dinner needs | To cover all emergency food needs | To make weekends a happy affair with family | To celebrate in the grandest manner or be a backup in emergency. |
Secondary | Personal | To get food of good quality of soothing to his/her taste | To discover new food options | Get to try something new and interesting | To get what all the family members like |
Secondary | Social | N/A | N/A | N/A | N/A |
Secondary | Financial | To get affordable food | Without making a dent in the pocket get the best food | N/A | N/A |
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Some points from my conversations with Zomato users:
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Link to Google Slides: https://docs.google.com/presentation/d/1OBou2J_7rv8x6GqObj_GJ-b1dp9W3vePpeJR6974-R8/edit?usp=sharing
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Zomato - Onboarding Teardown.pdf
{Access to all provided}
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Q. How am I feeling while being onboarded for this product?
A. Good but slightly confused at some points and sometimes needing to process much information.
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Q. What part of the onboarding experience is giving me that AHA moment?
A. First, when the discount is applied the final is reduced drastically. Schecklistcond, when the food is delivered on time without the need of too much back and fro with the delivery partner. Third, the moment I get to avail a top-notch dining offer.
A user is less likely to order if he/she faces constant delivery struggles and too much back and fro.
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Q. What screen would replace/ Remove/ add & why?
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Hypothesis 1​
-No. of orders placed by new users in the 1st month
-No. of restaurants the user visited before placing an order
-Time spent to decide what to order
-Type of restaurant the user places the order from (Like Domino or a local one)
-Repeat order rate
-Time between 1st & 2nd order
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Hypothesis 2​
-No. of restaurant reservations made by new users in 1st 7 days
-Time taken since app installation to make their 1st reservation
-Percentage of users who make a reservation out of total sign-ups
-No. of users paid the bill via Zomato app
-No. of users giving 4+ stars in feedback
-Cancellations and no-show rates
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Hypothesis 3​
-No. of customers discovering Zomato Gold in 90 days
-Percentage of customers opting for Zomato Gold in 90 days
-Major savings via Zomato Gold are on dining or delivery
-No. of referral customers opt for Zomato Gold
-Usage patterns of Zomato Gold subscribers
-Subscription cancellation rate
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Hypothesis 4​
-Number of referrals made by new users within 14 days
-Percentage of referred users who sign up
-Location of the referee and referred individual
-Order frequency
-No. of 4+ rating orders and deliveries of referred user
-Percentage of referred users opting for Zomato Gold
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Hypothesis 5​
-Number of restaurants recommended
-Ratio of orders from non-recommended and recommended restaurants
-Repeat orders from the same recommended restaurants
-Number of orders from recommended restaurants by customers within 21 days
-Avg. time taken from the opening of the app to placing the order
-Change in order frequency and time spent on the app
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Hypothesis 6​
-Number of restaurants recommended
-Ratio of orders from non-recommended and recommended restaurants
-Repeat orders from the same recommended restaurants
-Number of orders from recommended restaurants by customers within 21 days
-Avg. time taken from the opening of the app to placing the order
-Change in order frequency and time spent on the app
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