Learning Launch

Challenge

I wanted to solve the tutoring service problem in my region. Traditionally, if a tutor wants to  provide the service, he/she will find an tutoring agent company to connect him/her to the parents  who are finding tutors for their children. This is a good way but the agent charges the tutor very  high (30-40% of the first month salary). I want to find another way to help tutors because most  tutors in my region are students and they don’t have much money.

Selection

I discussed with dozens of tutors and parents to mapping their journey. There are a lot of  insights from both sides. Then I came up with several ideas how to tackle this problem. But as in  the lecture says, we have to go to find the truth. And the only way to do that is to make  experiment with out customers. Therefore, I chose one of the idea to make an MVP. I want to  create a platform to connect parents and tutors with minimal cost. Because I don’t have much  time and money, so I choose to test only 1 MVP.

Application

First, I build up the visual prototype via Figma. This help me to create the appearance of the  application and from this I can hire developers to build the MVP.

This MVP mainly to test the assumption that parents will fall for new technologies and they  willing to choose the tutor by themselves. I wanted to learn fast and fail cheap exactly like what  mentioned in the lecture.

Lecturer says the product is created to figure out whether it is a better alternative serving the  need of the customers. In my case, it is to test fast and cheap whether an online platform can be  an alternative for the traditional agent service.

After finish the MVP, I rolled out the product, run marketing campaign for a small group of tutors  and parents. Gathering insights but unluckily, I learn that this protype did not work. Hence, I stop  and keep in the “trash can”

Insights

During the application of Learn Launch, I get a lot of insights. At beginning, we usually fall for  our own confirmation. I was always thinking that my ideas gonna work for my customers. But  when I rolled out, I start to realize that I myself created a lot of bias. Hence, I start to pivot during  the programing period of the MVP.

Moreover, I also receive bias from my customers. They say the Figma prototype is great, it’s  gonna work, etc. But they themselves also bias. Learning is that what they say, what they think,  what they feel, and what they do are different. We should notice that during the brainstorming  and journey mapping too.

Approach

If I approach this again, I suggest to do it quicker. I need too much time to do the experiment. I  realize that for any MVP, or features, we should aim to rollout at every 2 weeks as maximum.  The point is to learn fast or fail cheap. Fast is 2 weeks. Fast is not several months.


Learning Launch Challenge I wanted to solve the tutoring service problem in my region . Traditionally , if a tutor wants to provide the service , he / she will find an tutoring agent company to connect him / her to the parents who are finding tutors for their children . This is a good way but the agent charges the tutor very high ( 30 - 40 % of the first month salary ) . I want to find another way to help tutors because most tutors in my region are students and they do n’t have much money . Selection I discussed with dozens of tutors and parents to mapping their journey . There are a lot of insights from both sides . Then I came up with several ideas how to tackle this problem . But as in the lecture says , we have to go to find the truth . And the only way to do that is to make experiment with out customers . Therefore , I chose one of the idea to make an MVP . I want to create a platform to connect parents and tutors with minimal cost . Because I do n’t have much time and money , so I choose to test only 1 MVP . Application First , I build up the visual prototype via Figma . This help me to create the appearance of the application and from this I can hire developers to build the MVP . This MVP mainly to test the assumption that parents will fall for new technologies and they willing to choose the tutor by themselves . I wanted to learn fast and fail cheap exactly like what mentioned in the lecture . Lecturer says the product is created to figure out whether it is a better alternative serving the need of the customers . In my case , it is to test fast and cheap whether an online platform can be an alternative for the traditional agent service . After finish the MVP , I rolled out the product , run marketing campaign for a small group of tutors and parents . Gathering insights but unluckily , I learn that this protype did not work . Hence , I stop and keep in the “ trash can ” Insights During the application of Learn Launch , I get a lot of insights . At beginning , we usually fall for our own confirmation . I was always thinking that my ideas gon na work for my customers . But when I rolled out , I start to realize that I myself created a lot of bias . Hence , I start to pivot during the programing period of the MVP . Moreover , I also receive bias from my customers . They say the Figma prototype is great , it ’s gon na work , etc . But they themselves also bias . Learning is that what they say , what they think , what they feel , and what they do are different . We should notice that during the brainstorming and journey mapping too . Approach If I approach this again , I suggest to do it quicker . I need too much time to do the experiment . I realize that for any MVP , or features , we should aim to rollout at every 2 weeks as maximum . The point is to learn fast or fail cheap . Fast is 2 weeks . Fast is not several months .