top of page

NocNoc Application

NocNoc, the premier household application that empowers homeowners to turn their dream homes into reality. Our platform is dedicated to providing you with endless inspiration, innovative ideas, and a vast array of products and services to build and decorate your living spaces with style and sophistication. 

Solo UX/UI designer

Role

Tool

Figma

Techniques

- Interviews
- User Groups
- Social Media Listening
- Competitive Analysis
- Wireframe & Prototype

Research

Research Objective

Understand the issues users are experiencing with the NocNoc application and identify areas for improvement within the application.

Background Application NocNoc

  • A marketplace platform for buying and selling home materials and decor with comprehensive installation services.

  • The platform offers home repair services such as fixing wooden floors, installing curtains, and repairing water pumps.

  • User Pain Points: After purchasing products online, customers need installation services to make the products ready for use.

  • All technicians have passed criminal background checks through the Appman Background Checker.

Interview

Conduct interviews with 10 users for gathering information to define the issues with the NocNoc application. Most users commonly encounter problems such as technicians arriving late, lack of after-sales service, and price gouging.

1_edited.png
Frame 1948754917.png

Qualitative analysis of interview data

Summarize the data from the interviews mentioned above, focusing on the issues most users encounter. The primary problem is that technicians lack expertise, leading to repeated failures after repairs. Secondary issues include price gouging, technicians arriving late, and lack of after-sales service. Most users find technicians through regular service providers.

Group 47.png
Frame 1948754953.png

Surveys 

Quantitative Data Collection

     A retrospective descriptive study was carried out using self-evaluating survey, distributed to personnel from student in faculty of Science Program in Digital Transformation & Innovation (dX) Thammasat university who are used to use Nocnoc applications  

Inclusion Criteria

  • Student in faculty of Science Program in Digital Transformation & Innovation (dX) Thammasat university who are used to use Nocnoc applications 

  • Personnel who can communicate in Thai Language

Exclusion Criteria

  • Personnel resigned or not in the latest official personnel list

  • Personnel unavailable in the 60-hour time frame despite efforts

Sample size - Prevalence study

ภาพถ่ายหน้าจอ 2567-06-21 เวลา 16.53.46.png

Sampling Methods - Stratified Sampling

    An equal proportion of 64% (134 - sampling size out of 209 - included group) was randomly chosen from each departments, using spreadsheet sotware for randomization. The calculated amounts of samples of any classes that were decimals have been rounded up. Specific names were recorded before distributing the surveys.
    Due to time constraints, the survey was only distributed during a 60-hour period. Ater closing the survey, only the samples chosen were analysed. Samples who were later discovered to be in the excluded group were replaced by randomization. This process was only done once.

Survey Questions 

ภาพถ่ายหน้าจอ 2567-06-21 เวลา 17.11.45.png
ภาพถ่ายหน้าจอ 2567-06-21 เวลา 17.12.20.png
ภาพถ่ายหน้าจอ 2567-06-21 เวลา 17.12.51.png
ภาพถ่ายหน้าจอ 2567-06-21 เวลา 17.14.01.png

Quantitative data analysis

   In a retrospective descriptive study to determine the prevalence and frequently found factors contributing to user satisfaction in the Nocnoc application, quantitative analysis will involve analyzing data collected from self-evaluating surveys completed by users of the application.
   The quantitative analysis will involve calculating the prevalence of user satisfaction by determining the percentage of users who reported being satisfied with the Nocnoc application. This can be done by tallying the number of respondents who selected options indicating satisfaction.
   Next, the prevalence of each factors in the satisfaction scale subgroup were calculated. The prevalence of all factors were used to create a pareto chart and the factors accounted for the first 20% in the chart have been further investigated with qualitative data gathering.

Quantitative data collections

   In-depth Interviews were conducted with at least one sample from each of the departments which were regarded as positive for patient misidentification.
   The interviewees were selected from the ones with the most relevant answers to the qualitative questions in the previous survey.
   The interview were conducted to obtain more information about the preselected factors from quantitative data results. The 5-why methods were used to do root cause analyses of each factor.

Results 

Responses from Surveys

  • Calculated sample size = 134

  • Collected samples = 131 (p = 0.051) = 97.8% of calculated sample size

year 1

32/33

96.97%

year 2

34/35

97.12%

year 3

35/36

97.22%

year 4

30/30

100%

Frequently found factor of diminished user satisfaction 

Last 20% from pareto chart

  • Helpfullness of emergency service

  • Over all user interface of the Nocnoc application

In-depth Interview Result

In-depth Interviews

An In-depth interview were carried out from 4 classes which were positive for user satisfaction

Helpfullness of

emergency service

1. Delayed response times leading to user frustration.

2. Inadequate communication channels causing user uncertainty.

3. Limited service coverage impacting user access.

4. Lack of user training or guidance on app usage during emergencies.

low user satisfaction

Over all user interface of the Nocnoc application

1. Complex navigation causing user confusion.
2. Lack of visual clarity hindering information retrieval.
3. Inconsistent functionality leading to user frustration.
4. Lack of personalization options reducing user engagement.

Social Media Listening

Review user feedback online to identify additional issues within the Application.

Frame 1948754867.png

Competitor Analysis

Analyze four competitors — 24Fix, Fixzy, Seekster, and Homepro Services—by evaluating their services, strengths, and weaknesses. Use this analysis to develop new features for the NocNoc application.

Frame 1948754972.png

Analysis

Problem

I have developed an application called NocNoc to address various user issues identified through testing and research. These included long wait times for services, lack of confidence in unrated or reviewed service providers, difficulty in leaving reviews for service providers, tracking previously used service providers, challenging product search interface, lack of detailed package tracking information, and limited membership registration options.

Key Finding

The analysis identified six prominent issues. Features and services have been added to the NocNoc application to address these issues and better meet user needs.

Frame 213.png
Frame 1948754942.png

User Persona

user persona.png

Design

Design System

nn.png
nnnn.png
nnn.png
nnnnn.png

Prototype

The urgent technician feature

     The urgent technician feature was developed to address customer needs for emergency services, such as a water pump failure causing a water outage. Technicians are available 24/7 to provide immediate assistance.

The popular search terms feature

      The popular search terms feature was developed to address users' difficulty in finding items. This feature displays important #keywords or the most frequently searched terms. By clicking on each #keyword, users can easily find the desired products.

The service provider history feature

     The service provider history feature was developed to address issues when customers require repeat service from a technician. If the problem reoccurs after the initial repair, this feature helps track the previously used technician. Each technician offers a warranty for their repair services.

The package tracking feature

The package tracking feature was developed to resolve difficulties in tracking parcels. Users can click once, and the application will link directly to the courier's website, making it easier to track shipments.

The write a review for a discount feature

The write-a-review-for-a-discount feature was created to address the issue of users not leaving reviews for technicians, resulting in fewer reviews and reduced job opportunities for technicians. This feature incentivizes users to leave reviews after using a service by offering a discount on their next service.

bottom of page