Step 1: Ask clarifying questions to narrow down the scope of the product/question
-Is it going to be a desktop based or mobile based app? (Mobile based)
-Android or IOS(both)
-To begin with will the app be available only at a particular region? (Yes, it’ll be only available for users in NY)
-What kind of scooters are these? (Normal 2 rider-scooters, nothing special)
-Are the scooters new or old? (Both works)
-Any restrictions on the kind of travel the scooter can do? (Only for short distance ride and travel)
-Standalone product or part of an already existing application? (Standalone)
Assumption:
Here we have assumed that the owners of the scooter will also be the driver of the scooter and they will be using this app as a way to earn an extra source of income while travelling.
Individual owners we will be assumed for the scope of this question
Step 2: List down the user groups
Now this kind of application (follows a marketplace type model) and will have both a supply side and demand side
Supply side:
Owners/Drivers
Demand Side:
-Individual tourists: Travelling to explore and checkout new places
– One time travelers/commuters: Travelling either for leisure or business
-Regular commuters: People who have to travel across the city on a daily basis
Step 3: Select/Choose user group and give your reasoning for the same.
For the scope of this question we will go with Individual owners/drivers on the supply side and tourists on the demand side as our main user groups.
Tourists are generally people who are new to the city and are always looking for cheap means of transport to reach from one place to another, also tourists will be using the app the most and benefiting the most from this app. Hence for this reason we are going with these 2 user groups.
Step 4: List down the user pain-points
Supply Side: Owners/Drivers
1) Don’t know the people who might need a ride and might think it’s not safe
2) Don’t exactly know how to find people/or who are the people who might be interested in a ride
3) Might want to talk to the riders before accepting or declining the request
4) Finding the riders address might be very diffiult
5) Don’t want to go all the way to the rider’s address only to find that the rider was a no-show
6) Wants to know how much they might get for the ride
Demand side: Tourists
1) Want to know who are the drivers that are available close to them?
2)Want to know about the condition and details of the bike before getting on the ride?
3) Want to know whether its safe or not
4) Payment options available and whether payment gateway is safe or not
5) Clarify any doubts or queries before getting on ride
Step 5: Prioritise the user pain-points based on criterias like: Impact to end user, Impact to business value
Supply Side
Pain Point # |
Impact to end user |
Impact to business value |
1 |
H |
H |
2 |
H |
H |
3 |
L/M |
M/H |
4 |
M |
M |
5 |
M/H |
M/H |
6 |
H |
H |
Demand Side
Pain Point # |
Impact to end user |
Impact to business value |
1 |
H |
H |
2 |
M |
H |
3 |
H |
H |
4 |
H |
M |
5 |
M |
M |
Based on the above criteria we have prioritised the following pain-points
For Supply Side 1,2,5 and 6
For Demand Side 1,3 and 4
Step 6: List down the solutions for the prioritised pain-points
For Supply Side
1) Don’t know the people who might need a ride and might think it’s not safe
A) Rider Profile: This will have all the information and details about the rider, past ride, ride history, reviews and ratings etc.
B) Chat with rider: Drivers also have the option to chat with the rider to get to know them before accepting their ride request
2) Don’t exactly know how to find people/or who are the people who might be interested in a ride
A) Integration GPS tracker with Google Maps : Will help the driver track people around their location who are interested in a ride
5) Don’t want to go all the way to the rider’s address only to find that the rider was a no-show
A) Pre-payment: To ensure or prevent riders from cancelling at the last moment, 20% of the total amount is taken beforehand
B) Start sending alerts/push notifications and messages to the rider, 5 mins before you are about to reach the location
6) Wants to know how much they might get for the ride
A) ML based Fare calculator: It will give an approximate fare range based on the ride distance, traffic conditions, fare for similar rides done etc
For Demand Side
1) Want to know who are the drivers that are available close to them?
A) GPS tracker: It can help the riders determine who are the drivers that are available closest to their location
3) Want to know whether the bike is safe or not
A) Review and ratings of rider and biker will help give riders a clear idea about the bike and whether its safe or not.
B) Advanced AI/ML auto-collision detector score: Thus feature helps prevent any kind of accidents from occuring by automatically detecting it beforehand. This scoring can give a great idea about the safety of the bike
4) Payment options available and whether payment gateway is safe or not
A) SSL secured transaction: All payments/transactions will be made done using SSL 128-bit encryption
B) Integrate it with online wallets such as paypal, venmo and also accept payments through prepaid cards, debit and credit cards
Step 7: Prioritise the solutions based on criterias like: Impact to end user, implementation effort and implementation cost
For Supply Side
Solution # |
Impact to end user |
Implementation effort |
Implementation cost |
1 A |
H |
L |
L |
1 B |
M |
M |
L/M |
2 A |
H |
L |
L |
5 A |
M/H |
M |
L |
5 B |
M/H |
L/M |
M |
6 A |
H |
M |
L |
For Demand Side
Solution # |
Impact to end user |
Implementation effort |
Implementation
cost |
1 A |
H |
L/M |
L |
3 A |
H |
L |
L |
3 B |
H |
M/H |
M |
4 A |
H |
M |
L |
4 B |
M/H |
L/M |
L |
Based on the above criterias we have prioritised the following solutions
Supply Side: 1A, 2A, 6A
Demand Side: 1A, 3A, 4B
Step 8: List down the metrics that you’ll be tracking for these features/solutions (If you have the time)
Step 9: Summarize your answer.