Editorial
Insights from Walla Team's Remarkable 220x Revenue Growth in Just 6 Months
April 28, 2024
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From last week, Walla Team has been conducting investor relations (IR) activities to secure its second round of investment. In this article, we aim to transparently share what Walla Team is currently thinking, what they are working on, and the insights they have gained.
The Link Between Users and Developers, the Research Team
We often hear that data is crucial. Many companies have realized the importance of customer data and have established teams like "CX Teams" and "Research Teams" to collect and analyze customer data, achieving a conversion rate of up to 70% from outbound research. The link between users and developers, the Research Team, comprises more than three members on average for each company with over 100 employees, and they spend an average of over 5 hours a day on data analysis. They analyze at least 10,000 pieces of data on average each month. Here's a summary of the daily tasks of ten researchers we interviewed:

Fragmented Customer Data Collection and Work Environment
In the tasks of the researchers mentioned earlier, the term "form" in "form composition and creation" referred to Google Forms in over 90% of cases. Google Forms is widely used because it offers only a small fraction of the features that task managers desire, so they need to spend a lot of time and effort using multiple services.

Two Major Time-Consuming Areas
Researchers spend the most time on "respondent discovery/interview" and "response analysis." In the case of respondent discovery/interview, the most significant challenge arises when dealing with external individuals who do not use the company's services.
Additionally, response analysis varies slightly depending on the purpose of the form. Monthly summary/classification of subjective response data usually involves analyzing over 100,000 pieces of data, making it nearly impossible for the research team to analyze all subjective response data each month. Form events, on the other hand, can generate 200,000 to 500,000 data entries when operated once, making it challenging to analyze the data in spreadsheets.

When you look at this market horizontally, you'll notice a trend of increasing polarization in the customer data collected. The "lightest" customer data is typically rating data like star ratings, while the "heaviest" customer data includes subjective responses and interviews. Existing forms like Google Forms are suitable for handling intermediate-level data. Walla aims to handle the "heavier" customer data beyond this midpoint and believes it can handle most of the data in this market.

Walla's Specialized Data Automated Analysis in Clustering & Classification
Properly analyzing this "heavier" data is essential. Walla provides not only metrics like views and churn rates but also automatically summarizes data in a single sentence without the need for complete analysis.
Moreover, Walla offers automatic analysis of subjective response data. For example, if you instruct, "Read all responses and categorize them into five categories," or "Analyze the emotions in the text and categorize them as positive/negative/neutral," Walla will perform these tasks on your behalf.
Companies currently using this feature analyze trends effortlessly in over 100,000 customer response data each month, segmented by month and campaign. If you want to learn more about this feature, please contact cs@walla.my!
Enterprise SaaS for Customer Data Collection & Analysis
Walla solves fragmented tasks by offering various features such as form creation, collaboration/alerts, distribution, analysis, and rewards. Walla has gained a unique competitive advantage with features like automatic analysis of subjective response data.

Thanks to Walla, researchers have significantly reduced the time required to complete a single project. When calculated for each company, this amounts to an average annual saving of 1,260 hours and KRW 28.9 million.

Beta Launch for 6 Months and Official Launch for 2 Months – Performance Metrics
Walla has been officially launched for only about two months, with an explosive growth rate, boasting 7,600 users and 2,400 MAU (Monthly Active Users) currently. Walla has conducted over 2,800 surveys, and the number of respondents has reached 310,000.

Even as we summarize this information, the number of customers continues to grow at a rate that is changing the first digit. Although the majority of customers are currently domestic, Walla has received responses from a much wider range of countries. We look forward to the new worlds and situations that Walla will continue to discover.

Now, let's discuss revenue. In October of last year, during the beta launch, Walla earned only KRW 30,000. Six months later, Walla achieved an MRR (Monthly Recurring Revenue) of KRW 5.78 million and revenue of over KRW 6.8 million this month. Our goal is to achieve break-even point (BEP) within this year. All of these achievements have occurred in just six short months.

Direction for Walla's Future Growth
Before Walla, our team operated a survey panel app service for three years. During this time, we encountered the limitations of panel apps. The very reason panels exist is to gather people with diverse demographic characteristics who are willing to respond. However, maintaining these diverse demographics within an app-based ecosystem, or "app tech," proved challenging. In simpler terms, we found that the younger generation, particularly those in their twenties, were not as enthusiastic about app tech.
To address this challenge, we believed that we needed to gather panels in a more flexible, "loose" manner. Walla integrated this idea with rewards. Participants could receive rewards via a link, without the need for phone numbers, and those who possessed the link could be asked follow-up questions, creating a more extensive panel. From the respondent's perspective, this meant more rewards for fewer responses (since responses accumulate, one-time responses suffice), making it more appealing.
When we initially developed SaaS, our goal was to make it easier for more companies to create forms. With more forms in circulation, more rewards would be at stake, reaching a broader audience. Starting with SaaS, our ultimate goal is to turn everyone in the world into a part of our panel network.
A Brief Reflection on Successful Startups
Of course, our revenue growth, while significant, is not astronomical. We still have a long way to go. Nevertheless, we believe that the primary reason for our rapid growth in a short period is our perspective on how Walla views the market. Recently, an investor told us that a "good startup team is not necessarily one from a prestigious university or a famous previous job but rather a team with good ideas about how to view the market." This comment resonated with us deeply.
Over the past five years in the data market, we've rolled up our sleeves, rolled with the punches, and thought extensively about the attitude we should adopt in this market. Even before we had these metrics, we worked diligently. However, we have gradually adjusted our direction. Now, we are finally finding the direction to take a breath and move forward. We continuously seek clues on how companies can willingly spend their money, what products they use, and why they choose us. This is why we believe that the ability to view the market in a positive light is the most significant reason our revenue today differs from that six months ago.
In conclusion, recognizing market challenges and understanding customer needs clearly is where a good perspective on the market begins. Through several pivots, we've learned that every market and service comes with its challenges and conditions. The best market and service can only emerge when we delve deep, like digging a well, to find that one clear point. We applaud all the startup teams tirelessly working to find their wells in their respective markets.
From last week, Walla Team has been conducting investor relations (IR) activities to secure its second round of investment. In this article, we aim to transparently share what Walla Team is currently thinking, what they are working on, and the insights they have gained.
The Link Between Users and Developers, the Research Team
We often hear that data is crucial. Many companies have realized the importance of customer data and have established teams like "CX Teams" and "Research Teams" to collect and analyze customer data, achieving a conversion rate of up to 70% from outbound research. The link between users and developers, the Research Team, comprises more than three members on average for each company with over 100 employees, and they spend an average of over 5 hours a day on data analysis. They analyze at least 10,000 pieces of data on average each month. Here's a summary of the daily tasks of ten researchers we interviewed:

Fragmented Customer Data Collection and Work Environment
In the tasks of the researchers mentioned earlier, the term "form" in "form composition and creation" referred to Google Forms in over 90% of cases. Google Forms is widely used because it offers only a small fraction of the features that task managers desire, so they need to spend a lot of time and effort using multiple services.

Two Major Time-Consuming Areas
Researchers spend the most time on "respondent discovery/interview" and "response analysis." In the case of respondent discovery/interview, the most significant challenge arises when dealing with external individuals who do not use the company's services.
Additionally, response analysis varies slightly depending on the purpose of the form. Monthly summary/classification of subjective response data usually involves analyzing over 100,000 pieces of data, making it nearly impossible for the research team to analyze all subjective response data each month. Form events, on the other hand, can generate 200,000 to 500,000 data entries when operated once, making it challenging to analyze the data in spreadsheets.

When you look at this market horizontally, you'll notice a trend of increasing polarization in the customer data collected. The "lightest" customer data is typically rating data like star ratings, while the "heaviest" customer data includes subjective responses and interviews. Existing forms like Google Forms are suitable for handling intermediate-level data. Walla aims to handle the "heavier" customer data beyond this midpoint and believes it can handle most of the data in this market.

Walla's Specialized Data Automated Analysis in Clustering & Classification
Properly analyzing this "heavier" data is essential. Walla provides not only metrics like views and churn rates but also automatically summarizes data in a single sentence without the need for complete analysis.
Moreover, Walla offers automatic analysis of subjective response data. For example, if you instruct, "Read all responses and categorize them into five categories," or "Analyze the emotions in the text and categorize them as positive/negative/neutral," Walla will perform these tasks on your behalf.
Companies currently using this feature analyze trends effortlessly in over 100,000 customer response data each month, segmented by month and campaign. If you want to learn more about this feature, please contact cs@walla.my!
Enterprise SaaS for Customer Data Collection & Analysis
Walla solves fragmented tasks by offering various features such as form creation, collaboration/alerts, distribution, analysis, and rewards. Walla has gained a unique competitive advantage with features like automatic analysis of subjective response data.

Thanks to Walla, researchers have significantly reduced the time required to complete a single project. When calculated for each company, this amounts to an average annual saving of 1,260 hours and KRW 28.9 million.

Beta Launch for 6 Months and Official Launch for 2 Months – Performance Metrics
Walla has been officially launched for only about two months, with an explosive growth rate, boasting 7,600 users and 2,400 MAU (Monthly Active Users) currently. Walla has conducted over 2,800 surveys, and the number of respondents has reached 310,000.

Even as we summarize this information, the number of customers continues to grow at a rate that is changing the first digit. Although the majority of customers are currently domestic, Walla has received responses from a much wider range of countries. We look forward to the new worlds and situations that Walla will continue to discover.

Now, let's discuss revenue. In October of last year, during the beta launch, Walla earned only KRW 30,000. Six months later, Walla achieved an MRR (Monthly Recurring Revenue) of KRW 5.78 million and revenue of over KRW 6.8 million this month. Our goal is to achieve break-even point (BEP) within this year. All of these achievements have occurred in just six short months.

Direction for Walla's Future Growth
Before Walla, our team operated a survey panel app service for three years. During this time, we encountered the limitations of panel apps. The very reason panels exist is to gather people with diverse demographic characteristics who are willing to respond. However, maintaining these diverse demographics within an app-based ecosystem, or "app tech," proved challenging. In simpler terms, we found that the younger generation, particularly those in their twenties, were not as enthusiastic about app tech.
To address this challenge, we believed that we needed to gather panels in a more flexible, "loose" manner. Walla integrated this idea with rewards. Participants could receive rewards via a link, without the need for phone numbers, and those who possessed the link could be asked follow-up questions, creating a more extensive panel. From the respondent's perspective, this meant more rewards for fewer responses (since responses accumulate, one-time responses suffice), making it more appealing.
When we initially developed SaaS, our goal was to make it easier for more companies to create forms. With more forms in circulation, more rewards would be at stake, reaching a broader audience. Starting with SaaS, our ultimate goal is to turn everyone in the world into a part of our panel network.
A Brief Reflection on Successful Startups
Of course, our revenue growth, while significant, is not astronomical. We still have a long way to go. Nevertheless, we believe that the primary reason for our rapid growth in a short period is our perspective on how Walla views the market. Recently, an investor told us that a "good startup team is not necessarily one from a prestigious university or a famous previous job but rather a team with good ideas about how to view the market." This comment resonated with us deeply.
Over the past five years in the data market, we've rolled up our sleeves, rolled with the punches, and thought extensively about the attitude we should adopt in this market. Even before we had these metrics, we worked diligently. However, we have gradually adjusted our direction. Now, we are finally finding the direction to take a breath and move forward. We continuously seek clues on how companies can willingly spend their money, what products they use, and why they choose us. This is why we believe that the ability to view the market in a positive light is the most significant reason our revenue today differs from that six months ago.
In conclusion, recognizing market challenges and understanding customer needs clearly is where a good perspective on the market begins. Through several pivots, we've learned that every market and service comes with its challenges and conditions. The best market and service can only emerge when we delve deep, like digging a well, to find that one clear point. We applaud all the startup teams tirelessly working to find their wells in their respective markets.
From last week, Walla Team has been conducting investor relations (IR) activities to secure its second round of investment. In this article, we aim to transparently share what Walla Team is currently thinking, what they are working on, and the insights they have gained.
The Link Between Users and Developers, the Research Team
We often hear that data is crucial. Many companies have realized the importance of customer data and have established teams like "CX Teams" and "Research Teams" to collect and analyze customer data, achieving a conversion rate of up to 70% from outbound research. The link between users and developers, the Research Team, comprises more than three members on average for each company with over 100 employees, and they spend an average of over 5 hours a day on data analysis. They analyze at least 10,000 pieces of data on average each month. Here's a summary of the daily tasks of ten researchers we interviewed:

Fragmented Customer Data Collection and Work Environment
In the tasks of the researchers mentioned earlier, the term "form" in "form composition and creation" referred to Google Forms in over 90% of cases. Google Forms is widely used because it offers only a small fraction of the features that task managers desire, so they need to spend a lot of time and effort using multiple services.

Two Major Time-Consuming Areas
Researchers spend the most time on "respondent discovery/interview" and "response analysis." In the case of respondent discovery/interview, the most significant challenge arises when dealing with external individuals who do not use the company's services.
Additionally, response analysis varies slightly depending on the purpose of the form. Monthly summary/classification of subjective response data usually involves analyzing over 100,000 pieces of data, making it nearly impossible for the research team to analyze all subjective response data each month. Form events, on the other hand, can generate 200,000 to 500,000 data entries when operated once, making it challenging to analyze the data in spreadsheets.

When you look at this market horizontally, you'll notice a trend of increasing polarization in the customer data collected. The "lightest" customer data is typically rating data like star ratings, while the "heaviest" customer data includes subjective responses and interviews. Existing forms like Google Forms are suitable for handling intermediate-level data. Walla aims to handle the "heavier" customer data beyond this midpoint and believes it can handle most of the data in this market.

Walla's Specialized Data Automated Analysis in Clustering & Classification
Properly analyzing this "heavier" data is essential. Walla provides not only metrics like views and churn rates but also automatically summarizes data in a single sentence without the need for complete analysis.
Moreover, Walla offers automatic analysis of subjective response data. For example, if you instruct, "Read all responses and categorize them into five categories," or "Analyze the emotions in the text and categorize them as positive/negative/neutral," Walla will perform these tasks on your behalf.
Companies currently using this feature analyze trends effortlessly in over 100,000 customer response data each month, segmented by month and campaign. If you want to learn more about this feature, please contact cs@walla.my!
Enterprise SaaS for Customer Data Collection & Analysis
Walla solves fragmented tasks by offering various features such as form creation, collaboration/alerts, distribution, analysis, and rewards. Walla has gained a unique competitive advantage with features like automatic analysis of subjective response data.

Thanks to Walla, researchers have significantly reduced the time required to complete a single project. When calculated for each company, this amounts to an average annual saving of 1,260 hours and KRW 28.9 million.

Beta Launch for 6 Months and Official Launch for 2 Months – Performance Metrics
Walla has been officially launched for only about two months, with an explosive growth rate, boasting 7,600 users and 2,400 MAU (Monthly Active Users) currently. Walla has conducted over 2,800 surveys, and the number of respondents has reached 310,000.

Even as we summarize this information, the number of customers continues to grow at a rate that is changing the first digit. Although the majority of customers are currently domestic, Walla has received responses from a much wider range of countries. We look forward to the new worlds and situations that Walla will continue to discover.

Now, let's discuss revenue. In October of last year, during the beta launch, Walla earned only KRW 30,000. Six months later, Walla achieved an MRR (Monthly Recurring Revenue) of KRW 5.78 million and revenue of over KRW 6.8 million this month. Our goal is to achieve break-even point (BEP) within this year. All of these achievements have occurred in just six short months.

Direction for Walla's Future Growth
Before Walla, our team operated a survey panel app service for three years. During this time, we encountered the limitations of panel apps. The very reason panels exist is to gather people with diverse demographic characteristics who are willing to respond. However, maintaining these diverse demographics within an app-based ecosystem, or "app tech," proved challenging. In simpler terms, we found that the younger generation, particularly those in their twenties, were not as enthusiastic about app tech.
To address this challenge, we believed that we needed to gather panels in a more flexible, "loose" manner. Walla integrated this idea with rewards. Participants could receive rewards via a link, without the need for phone numbers, and those who possessed the link could be asked follow-up questions, creating a more extensive panel. From the respondent's perspective, this meant more rewards for fewer responses (since responses accumulate, one-time responses suffice), making it more appealing.
When we initially developed SaaS, our goal was to make it easier for more companies to create forms. With more forms in circulation, more rewards would be at stake, reaching a broader audience. Starting with SaaS, our ultimate goal is to turn everyone in the world into a part of our panel network.
A Brief Reflection on Successful Startups
Of course, our revenue growth, while significant, is not astronomical. We still have a long way to go. Nevertheless, we believe that the primary reason for our rapid growth in a short period is our perspective on how Walla views the market. Recently, an investor told us that a "good startup team is not necessarily one from a prestigious university or a famous previous job but rather a team with good ideas about how to view the market." This comment resonated with us deeply.
Over the past five years in the data market, we've rolled up our sleeves, rolled with the punches, and thought extensively about the attitude we should adopt in this market. Even before we had these metrics, we worked diligently. However, we have gradually adjusted our direction. Now, we are finally finding the direction to take a breath and move forward. We continuously seek clues on how companies can willingly spend their money, what products they use, and why they choose us. This is why we believe that the ability to view the market in a positive light is the most significant reason our revenue today differs from that six months ago.
In conclusion, recognizing market challenges and understanding customer needs clearly is where a good perspective on the market begins. Through several pivots, we've learned that every market and service comes with its challenges and conditions. The best market and service can only emerge when we delve deep, like digging a well, to find that one clear point. We applaud all the startup teams tirelessly working to find their wells in their respective markets.
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November 15, 2024
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EDITORIAL
Building Strong Starts: Using Feedback to Elevate Employee Onboarding
November 13, 2024
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EDITORIAL
Empower Your People: Modern HR & EX Management and the Role of Feedback Tools
November 8, 2024
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EDITORIAL
Free but Powerful: The #1 Online Form Builder
November 5, 2024
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EDITORIAL
From MP3 Players to Grapefruit Honey Tea: Brands That Thrived With Online Surveys
October 25, 2024
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EDITORIAL
From Custom Design to AI Analysis: How Walla Beats Google Forms 120%
October 13, 2024
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EDITORIAL
Is Google Forms Enough? Key Drawbacks You Shouldn’t Overlook
October 9, 2024
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EDITORIAL
Reimagining Convenience: Walla’s Ready-to-Use Survey Templates for Your Brand
October 2, 2024
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EDITORIAL
Google Forms or Walla? A Comprehensive Feature-by-Feature Look
July 23, 2024
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EDITORL
Crafting the Perfect Survey: Key Strategies for High-Quality Data
October 6, 2024
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EDITORIAL
Revisiting On-Premise: Navigating Your Options Between SaaS and Traditional Setups
October 18, 2024
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GUIDES
Manage Capacity Stress-Free: Quota Settings
July 19, 2024
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Editorial
Insights from Location Data
March 12, 2024
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Editorial
Paprikan Canada Voyage : Inside and Beyond
February 16, 2024
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GUIDES
The Marketer's Ace: Hidden Fields
February 14, 2024
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Editorial
To You Who Has Been Staring at Data for 10 Hours
January 23, 2024
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Editorial
The Secret to Acquiring 30,000 Users with Minimal Marketing Budget
November 29, 2023
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Editorial
Paprikan's Open Hiring Journey
November 28, 2023
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Guides
Survey Form Webhook Guidelines
August 31, 2023
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Editorial
Starting a Company and Living Together in Canada
June 12, 2023
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Guides
Let's Group Data Using the Group By Feature
May 17, 2023
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Editorial
The Tiny History of Walla
May 15, 2023
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Editorial
Insights from Walla Team's Remarkable 220x Revenue Growth in Just 6 Months
April 28, 2024
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Editorial
Insights from a Walla Team Co-founder Shared in a University Lecture
April 5, 2023
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Guides
How to Create a One-Page Survey
April 5, 2023
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Guides
How to Set Up Notifications for Surveys
April 5, 2023
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Editorial
A Letter to Aspiring Entrepreneurs
March 29, 2023
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Editorial
Why Walla Became Walla: The Story Behind the Name
March 21, 2023
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Guides
The Perfect Way to Collect Location Data
March 15, 2023
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Guides
Fully Understand Logic Setting
March 14, 2023
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Guides
Exploring Walla Team's Philosophy Behind Pricing
March 14, 2023
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GUIDES
Analyzing Response Sheet Data with GPT
March 8, 2023
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Guides
The Most Efficient Way to Use Google Forms
March 8, 2023
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Guides
Hidden Fields: How to Stop Hiding and Start Using
March 8, 2023
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Editorial
Hello, It's Team Walla
March 10, 2023
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Editorial
Why is it called Paprika Data Lab?
March 10, 2023