Example Reflection – Learning Launch

Challenge & Selection

During the university years, I have a friend who has a special passion with the flower and plan,  he has opened two Floral Shops for one year on the suburb of the city where we are living.

Two months ago, he came to me with a bad story about his Floral Shops. Although he adjusted  the price many times and also investigated on promotion programs but the customer return rate  is still extremely low (4.8% of total customer), another disadvantage is “lacking of market  research data” makes his business getting worse after months. Our conversation then was  driven to the hypothesizes and ideas which noone can prove for its effectiveness in the reality

After gone through several design thinking tools, we finally decided to apply Learning Launch  Tool as an experiment meant to test for our ideas on a week after

Application

Get started with the shop auditing, we looked back to the customer’s data and recorded videos  and found out a big surprise from the audience segment “over 50% of total customers are young  generation instead of old moms and housekeepers as our assumption”. Also according to  videos, it seems the customers feel uncomfortable during the flower packing time at the shop, it  might be considered as a symptom of low customer return rate

Based on facts and figures, we scheduled a small meeting between me and my friend (shop  owner) to generate ideas that we think relevant to the customers. Throughout the meeting, we  decided to stick with 2 ideas what are able to be tested quickly by applying the Learning Launch  Tool

Within our network, we have connected to friends – relevant to our targeted audience, to ask for  helps, and fortunately 8 guys agreed to join our experiment 2 days after.

First learning launch: Applying the modern and young designs (Flower Pack)

We prepared 10 old designs and 10 modern designs are in different corners of the room to let  participants experimenting. Then after 3 observation hours, we started to collect feedbacks from  participates one by one

According to feedbacks, our actual result is “most of participants prefer the meaning of flower  pack to modern and young design”. Besides that, during the flower packing time it seems to  make participates feels un-comfortable and even tired. With this result, we temporary rejected  this idea and keep it in the future

Second learning launch: Serving free coffee, water and seats during flowers packing time

We re-structured a corner of the first shop a little bit by inserted a long table and chairs that  borrowed from a friend’s house. During the flowers packing time the customer will be served  free coffee or pure water on the long table.Flowers around the table were picked carefully so  that its smell looks good and beautiful, so it helps the customer feels comfortable.

Wow, at the end of experiment we got many positive feedbacks such as:

“It is good, I have time to play games during the waiting time”

“Enjoy coffee among good flowers’ smell”

We then decided to keep this mall corner for real customers in the short-term (7 days). And over  our expectation, there are 12 of 46 customers returned (26%) and there are 5 couples among of  them

Insight & Approach

The learning launch tool does not only help to test our ideas in the reality but also giving the  insights of the complex problem. With these insights, I and my friend (shop owner) confidently  expand our idea to all shops that promise a good change from the current customer return rate.

Next step, my friend is going to open a new shop in the urban, it is a good opportunity for us to  apply the learning launch tool for new market. Challenge but very interesting, we planned to ask  more people join the experiment and also trying with “pivot” step that we have not done on the  last applied


Example Reflection – Learning Launch Challenge & Selection During the university years , I have a friend who has a special passion with the flower and plan , he has opened two Floral Shops for one year on the suburb of the city where we are living . Two months ago , he came to me with a bad story about his Floral Shops . Although he adjusted the price many times and also investigated on promotion programs but the customer return rate is still extremely low ( 4.8 % of total customer ) , another disadvantage is “ lacking of market research data ” makes his business getting worse after months . Our conversation then was driven to the hypothesizes and ideas which noone can prove for its effectiveness in the reality After gone through several design thinking tools , we finally decided to apply Learning Launch Tool as an experiment meant to test for our ideas on a week after Application Get started with the shop auditing , we looked back to the customer ’s data and recorded videos and found out a big surprise from the audience segment “ over 50 % of total customers are young generation instead of old moms and housekeepers as our assumption ” . Also according to videos , it seems the customers feel uncomfortable during the flower packing time at the shop , it might be considered as a symptom of low customer return rate Based on facts and figures , we scheduled a small meeting between me and my friend ( shop owner ) to generate ideas that we think relevant to the customers . Throughout the meeting , we decided to stick with 2 ideas what are able to be tested quickly by applying the Learning Launch Tool Within our network , we have connected to friends – relevant to our targeted audience , to ask for helps , and fortunately 8 guys agreed to join our experiment 2 days after . First learning launch : Applying the modern and young designs ( Flower Pack ) We prepared 10 old designs and 10 modern designs are in different corners of the room to let participants experimenting . Then after 3 observation hours , we started to collect feedbacks from participates one by one According to feedbacks , our actual result is “ most of participants prefer the meaning of flower pack to modern and young design ” . Besides that , during the flower packing time it seems to make participates feels un - comfortable and even tired . With this result , we temporary rejected this idea and keep it in the future Second learning launch : Serving free coffee , water and seats during flowers packing time We re - structured a corner of the first shop a little bit by inserted a long table and chairs that borrowed from a friend ’s house . During the flowers packing time the customer will be served free coffee or pure water on the long table . Flowers around the table were picked carefully so that its smell looks good and beautiful , so it helps the customer feels comfortable . Wow , at the end of experiment we got many positive feedbacks such as : “ It is good , I have time to play games during the waiting time ” “ Enjoy coffee among good flowers ’ smell ” We then decided to keep this mall corner for real customers in the short - term ( 7 days ) . And over our expectation , there are 12 of 46 customers returned ( 26 % ) and there are 5 couples among of them Insight & Approach The learning launch tool does not only help to test our ideas in the reality but also giving the insights of the complex problem . With these insights , I and my friend ( shop owner ) confidently expand our idea to all shops that promise a good change from the current customer return rate . Next step , my friend is going to open a new shop in the urban , it is a good opportunity for us to apply the learning launch tool for new market . Challenge but very interesting , we planned to ask more people join the experiment and also trying with “ pivot ” step that we have not done on the last applied