I have data in 2 sheets in Google Sheet, I want to turn it into an ...
...easier viewing interface to see on my phone. Update information from Google Sheet
People love using similar products but resist paying. Youβll need to either find who will pay or create additional value thatβs worth paying for.
Should You Build It?
Build but think about differentiation and monetization.
Your are here
Turning Google Sheets data into a mobile-friendly interface falls into a well-trodden path: the 'Freemium' category. Many tools aim to make spreadsheets more accessible and user-friendly. With 8 similar products already out there, the competition is real. The high engagement (average of 20 comments) suggests a strong interest in this area, but it also means users are discerning. Given the 'Freemium' nature of this category, people generally prefer free options but are open to premium features if they solve a critical problem. You will need to focus on understanding which users get the most value from free versions and identify the additional value that would make them pay.
Recommendations
- Given the existing competition, focus on a niche use case or user group. Instead of building a generic solution, target a specific industry or type of data. For example, real estate agents managing property listings, or project managers tracking tasks. This allows you to tailor the interface and features to their specific needs, increasing the perceived value.
- Since users have expressed privacy concerns with similar products, be upfront and transparent about your data storage practices. Clearly explain how you handle user data and what security measures you have in place. This can be a significant differentiator and build trust with potential users.
- Based on feedback from similar products, consider offering integrations beyond Google Sheets. While it's a good starting point, users often want to connect to other data sources. Explore integrations with databases, CRMs, or other popular tools to expand the functionality and appeal of your product.
- Since the idea is about Google Sheets, build a chrome extension or an addon in the google workspace marketplace and make it extremely easy for the user to view, update or manage the information.
- Prioritize ease of use. The discussion summary of the similar products emphasized that the user appreciates the easy setup and efficient data tracking, particularly its ability to connect to Google Sheets without needing Zapier. Simplify the process of connecting to Google Sheets and ensure that the interface is intuitive and easy to navigate, even for non-technical users.
- Implement a feedback mechanism early on. Softr received criticism about its frequent updates. Collect user feedback continuously and prioritize bug fixes and feature requests based on user input to avoid such issues. This will help you iterate on the product and ensure that it meets the needs of your target audience.
- Explore charging teams instead of individuals. Many small teams could benefit from a better interface to view/manage Google Sheets data and if they use your solution as a team, you can charge them a premium.
Questions
- What specific problem are you solving that existing solutions don't address effectively? What are the key differentiators that will make users choose your product over the competition?
- What is your plan for monetization? Given that users are inclined to use free versions, how will you convince them to pay for premium features or services?
- How will you ensure the scalability and performance of your solution as the amount of data in Google Sheets increases? Have you considered potential limitations of Google Sheets and how you will address them?
Your are here
Turning Google Sheets data into a mobile-friendly interface falls into a well-trodden path: the 'Freemium' category. Many tools aim to make spreadsheets more accessible and user-friendly. With 8 similar products already out there, the competition is real. The high engagement (average of 20 comments) suggests a strong interest in this area, but it also means users are discerning. Given the 'Freemium' nature of this category, people generally prefer free options but are open to premium features if they solve a critical problem. You will need to focus on understanding which users get the most value from free versions and identify the additional value that would make them pay.
Recommendations
- Given the existing competition, focus on a niche use case or user group. Instead of building a generic solution, target a specific industry or type of data. For example, real estate agents managing property listings, or project managers tracking tasks. This allows you to tailor the interface and features to their specific needs, increasing the perceived value.
- Since users have expressed privacy concerns with similar products, be upfront and transparent about your data storage practices. Clearly explain how you handle user data and what security measures you have in place. This can be a significant differentiator and build trust with potential users.
- Based on feedback from similar products, consider offering integrations beyond Google Sheets. While it's a good starting point, users often want to connect to other data sources. Explore integrations with databases, CRMs, or other popular tools to expand the functionality and appeal of your product.
- Since the idea is about Google Sheets, build a chrome extension or an addon in the google workspace marketplace and make it extremely easy for the user to view, update or manage the information.
- Prioritize ease of use. The discussion summary of the similar products emphasized that the user appreciates the easy setup and efficient data tracking, particularly its ability to connect to Google Sheets without needing Zapier. Simplify the process of connecting to Google Sheets and ensure that the interface is intuitive and easy to navigate, even for non-technical users.
- Implement a feedback mechanism early on. Softr received criticism about its frequent updates. Collect user feedback continuously and prioritize bug fixes and feature requests based on user input to avoid such issues. This will help you iterate on the product and ensure that it meets the needs of your target audience.
- Explore charging teams instead of individuals. Many small teams could benefit from a better interface to view/manage Google Sheets data and if they use your solution as a team, you can charge them a premium.
Questions
- What specific problem are you solving that existing solutions don't address effectively? What are the key differentiators that will make users choose your product over the competition?
- What is your plan for monetization? Given that users are inclined to use free versions, how will you convince them to pay for premium features or services?
- How will you ensure the scalability and performance of your solution as the amount of data in Google Sheets increases? Have you considered potential limitations of Google Sheets and how you will address them?
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Confidence: High
- Number of similar products: 8
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Engagement: High
- Average number of comments: 20
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Net use signal: 22.7%
- Positive use signal: 22.7%
- Negative use signal: 0.0%
- Net buy signal: 0.0%
- Positive buy signal: 0.0%
- Negative buy signal: 0.0%
Help
This chart summarizes all the similar products we found for your idea in a single plot.
The x-axis represents the overall feedback each product received. This is calculated from the net use and buy signals that were expressed in the comments.
The maximum is +1, which means all comments (across all similar products) were positive, expressed a willingness to use & buy said product. The minimum is -1 and it means the exact opposite.
The y-axis captures the strength of the signal, i.e. how many people commented and how does this rank against other products in this category.
The maximum is +1, which means these products were the most liked, upvoted and talked about launches recently. The minimum is 0, meaning zero engagement or feedback was received.
The sizes of the product dots are determined by the relevance to your idea, where 10 is the maximum.
Your idea is the big blueish dot, which should lie somewhere in the polygon defined by these products. It can be off-center because we use custom weighting to summarize these metrics.