Example Reflection – Management a Toilet inside office

Challenge

I am a member of my organization’s payment gateway, Currently I’m developer in

Technology Department team. I need to improve a queueing for toilet. Now we had a problem

for toilet is full. But we don’t know a vacant or busy.

A lot of member in our office, they wait a queue in a front of toilet room. Sometimes more

than 30 minutes. It wastes time for work. Some people could wait a queue and sometimes we

use a toilet in another floor. This project will develop website that show vacant is available or

not. It may use a budget for buy motion sensor, switch sensor and ethernet module. After we

got a device for detect a people in toilet, we will installation. When we got signal from ethernet

module, we need to develop website that show vacant room. It may solve waiting queue but the

room is busy. This project may not increase some budget in a company. But it will return a

waste time for queueing long time.

Selection

Our Technology team and Infrastructure team several discuss about a problem. Then we

need to scope and definition a problem. We just select a design thinking activities/tools. We

already send a poll to all of employee in Bangkok for gathering data. Now we have a data for

management a toilet inside our office. Then we will test an idea quickly for check a consumption

and prototype.

Application

For our first gathering data of our employee. We will focus on a queueing time and the

toilet was not enough, at certain times, such as during after the lunch break. Our employee

understands and someone said “The toilet cannot expand because the building rental property

not allow.”

We attempting to identify and define possible solutions to the problem. If we cannot

expand the toilet, we will develop a solution show vacant to all employee in office. It could show

number of vacant room and busy room. But after we lunch this to the meeting room. We found a

problem of privacy in toilet.

Now we cannot use motion sensor for determine “Anybody use a toilet or not.”. We just

use only switch sensor with a paper that told (“Please don’t close a toilet after use”).

We have many problems when talk about privacy in toilet. After the office create the rule

when using a toilet. New policy will apply for our employee. We also plan to bring IoT to apply in

the organization. It was approved by the management team. we focused on gaining clarity about

our tasks and priorities. This tested our assumption that our prioritization of tasks was the main

cause of our workflow challenge.

By the way we conducted within a two-week timeframe for create a prototype after we

got concluded at the meeting.

Insight

Our team identified our assumptions and designed launches to test these assumptions.

Will we be able to reduce the waste time for queueing toilet? If we have a website with IoT for

that checks whether the toilet is vacant or busy. We thought through anticipated results there

will be no more than 20% error which comes from the user closing the toilet. In the future, we

will continue to improve. After further guidance from CEO. We can use a sensor that detect that

someone has left the toilet, If the person closes the toilet door there will show red light in front of

their toilet. To keep the door, open always. The ongoing incorporation of insight is particularly

important at this stage, as launches come before a full rollout in the design thinking timeline.

Approach

Given that our group has already gone thru quite a few sketch thinking activities/tools

and are at this stage in the timeline, the getting to know launch is the suitable tool. As before

mentioned, our team needs to evaluate the insight gained from our first, two launches and

include this perception into future launch designs. Future launch designs have to reflect insight

gained, growth made, and come closer to a compelling solution prepared for full rollout. After we

got a collection of data. We need to tuning a system that we got information of experimental

data. And keep improving accuracy at least 90%.


Example Reflection – Management a Toilet inside office Challenge I am a member of my organization ’s payment gateway , Currently I ’m developer in Technology Department team . I need to improve a queueing for toilet . Now we had a problem for toilet is full . But we do n’t know a vacant or busy . A lot of member in our office , they wait a queue in a front of toilet room . Sometimes more than 30 minutes . It wastes time for work . Some people could wait a queue and sometimes we use a toilet in another floor . This project will develop website that show vacant is available or not . It may use a budget for buy motion sensor , switch sensor and ethernet module . After we got a device for detect a people in toilet , we will installation . When we got signal from ethernet module , we need to develop website that show vacant room . It may solve waiting queue but the room is busy . This project may not increase some budget in a company . But it will return a waste time for queueing long time . Selection Our Technology team and Infrastructure team several discuss about a problem . Then we need to scope and definition a problem . We just select a design thinking activities / tools . We already send a poll to all of employee in Bangkok for gathering data . Now we have a data for management a toilet inside our office . Then we will test an idea quickly for check a consumption and prototype . Application For our first gathering data of our employee . We will focus on a queueing time and the toilet was not enough , at certain times , such as during after the lunch break . Our employee understands and someone said “ The toilet can not expand because the building rental property not allow . ” We attempting to identify and define possible solutions to the problem . If we can not expand the toilet , we will develop a solution show vacant to all employee in office . It could show number of vacant room and busy room . But after we lunch this to the meeting room . We found a problem of privacy in toilet . Now we can not use motion sensor for determine “ Anybody use a toilet or not . ” . We just use only switch sensor with a paper that told ( “ Please do n’t close a toilet after use ” ) . We have many problems when talk about privacy in toilet . After the office create the rule when using a toilet . New policy will apply for our employee . We also plan to bring IoT to apply in the organization . It was approved by the management team . we focused on gaining clarity about our tasks and priorities . This tested our assumption that our prioritization of tasks was the main cause of our workflow challenge . By the way we conducted within a two - week timeframe for create a prototype after we got concluded at the meeting . Insight Our team identified our assumptions and designed launches to test these assumptions . Will we be able to reduce the waste time for queueing toilet ? If we have a website with IoT for that checks whether the toilet is vacant or busy . We thought through anticipated results there will be no more than 20 % error which comes from the user closing the toilet . In the future , we will continue to improve . After further guidance from CEO . We can use a sensor that detect that someone has left the toilet , If the person closes the toilet door there will show red light in front of their toilet . To keep the door , open always . The ongoing incorporation of insight is particularly important at this stage , as launches come before a full rollout in the design thinking timeline . Approach Given that our group has already gone thru quite a few sketch thinking activities / tools and are at this stage in the timeline , the getting to know launch is the suitable tool . As before mentioned , our team needs to evaluate the insight gained from our first , two launches and include this perception into future launch designs . Future launch designs have to reflect insight gained , growth made , and come closer to a compelling solution prepared for full rollout . After we got a collection of data . We need to tuning a system that we got information of experimental data . And keep improving accuracy at least 90 % .