Should I Build It Should I Build It
06 Jun 2025
Marketing

Nearly there, we are summarizing our findings for you...work with ...

...almost all email providers

Confidence
Engagement
Net use signal
Net buy signal

Idea type: Pivot

Current solutions aren’t working well, but there might be a way to adjust your approach. This isn’t about starting over, but rather making thoughtful changes based on what you’re learning.

Should You Build It?

No. Think & pivot.

Your are here

Your idea to summarize findings and work with almost all email providers puts you in the 'Pivot' category, meaning that current solutions in the email management space aren't quite hitting the mark, but a well-executed adjustment could lead to success. With 4 similar products identified, we have medium confidence in this assessment, indicating moderate competition. The engagement around these similar products is medium (average of 9 comments), so there is definitely interest in this type of tool, however, we are missing net use and net buy signals (i.e. people are neither explicitly saying they want to use or buy similar product, nor explicitly saying the opposite). Therefore, you need to proceed carefully, and consider pivoting. Don't start over from scratch, instead analyze the competition and make very thoughtful changes.

Recommendations

  1. Start by listing the top three reasons people dislike existing email summary or management tools. The discussions around similar products, like Reviewik, frequently mention concerns about missing pricing information, unclear privacy policies, and data security. This highlights a crucial need for transparency and user trust.
  2. Sketch out exactly how your solution will directly address these pitfalls. For instance, clearly outline your pricing model upfront, develop a comprehensive and easy-to-understand privacy policy, and implement robust security measures to protect user data. Don't make users dig to find these things.
  3. Before investing heavily in development, test your revised approach with at least five potential customers. Show them mockups or a basic prototype and gather their feedback on whether your changes effectively alleviate their concerns and meet their needs. This can be as simple as showing them a demo and asking them to use the product for 15 minutes.
  4. Consider focusing on a specific niche or user group that would benefit most from your solution. Instead of trying to be everything to everyone, identify a particular segment with unique needs, such as small business owners, busy executives, or specific industries. Make sure you test this on real users during your testing phase.
  5. Set a firm deadline, such as four weeks, to evaluate the impact of your pivot. During this period, track key metrics like user engagement, feedback, and any preliminary sales or sign-ups. If you don't see clear signs of improvement within this timeframe, be prepared to re-evaluate your strategy again.
  6. Given the concerns around accuracy of AI in interpreting emails, thoroughly test your solution with a diverse set of email types. Implement rigorous quality control measures to ensure that summaries are both accurate and relevant, as this will be critical for building user trust.
  7. Focus on offering integrations with other platforms (e.g. Slack, Teams) to increase adoption. Users want simple solutions that work within their existing stack, don't make them switch.

Questions

  1. How will your solution handle the diversity of email formats and content, ensuring accurate and relevant summaries across different email providers and message types?
  2. What specific security measures will you implement to protect user data and address privacy concerns, especially given the sensitivity of email content?
  3. How will you differentiate your product from existing email management tools, ensuring that it provides unique value and addresses unmet needs in the market?

Your are here

Your idea to summarize findings and work with almost all email providers puts you in the 'Pivot' category, meaning that current solutions in the email management space aren't quite hitting the mark, but a well-executed adjustment could lead to success. With 4 similar products identified, we have medium confidence in this assessment, indicating moderate competition. The engagement around these similar products is medium (average of 9 comments), so there is definitely interest in this type of tool, however, we are missing net use and net buy signals (i.e. people are neither explicitly saying they want to use or buy similar product, nor explicitly saying the opposite). Therefore, you need to proceed carefully, and consider pivoting. Don't start over from scratch, instead analyze the competition and make very thoughtful changes.

Recommendations

  1. Start by listing the top three reasons people dislike existing email summary or management tools. The discussions around similar products, like Reviewik, frequently mention concerns about missing pricing information, unclear privacy policies, and data security. This highlights a crucial need for transparency and user trust.
  2. Sketch out exactly how your solution will directly address these pitfalls. For instance, clearly outline your pricing model upfront, develop a comprehensive and easy-to-understand privacy policy, and implement robust security measures to protect user data. Don't make users dig to find these things.
  3. Before investing heavily in development, test your revised approach with at least five potential customers. Show them mockups or a basic prototype and gather their feedback on whether your changes effectively alleviate their concerns and meet their needs. This can be as simple as showing them a demo and asking them to use the product for 15 minutes.
  4. Consider focusing on a specific niche or user group that would benefit most from your solution. Instead of trying to be everything to everyone, identify a particular segment with unique needs, such as small business owners, busy executives, or specific industries. Make sure you test this on real users during your testing phase.
  5. Set a firm deadline, such as four weeks, to evaluate the impact of your pivot. During this period, track key metrics like user engagement, feedback, and any preliminary sales or sign-ups. If you don't see clear signs of improvement within this timeframe, be prepared to re-evaluate your strategy again.
  6. Given the concerns around accuracy of AI in interpreting emails, thoroughly test your solution with a diverse set of email types. Implement rigorous quality control measures to ensure that summaries are both accurate and relevant, as this will be critical for building user trust.
  7. Focus on offering integrations with other platforms (e.g. Slack, Teams) to increase adoption. Users want simple solutions that work within their existing stack, don't make them switch.

Questions

  1. How will your solution handle the diversity of email formats and content, ensuring accurate and relevant summaries across different email providers and message types?
  2. What specific security measures will you implement to protect user data and address privacy concerns, especially given the sensitivity of email content?
  3. How will you differentiate your product from existing email management tools, ensuring that it provides unique value and addresses unmet needs in the market?

  • Confidence: Medium
    • Number of similar products: 4
  • Engagement: Medium
    • Average number of comments: 9
  • Net use signal: -5.0%
    • Positive use signal: 3.3%
    • Negative use signal: 8.3%
  • Net buy signal: -5.0%
    • Positive buy signal: 0.0%
    • Negative buy signal: 5.0%

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.

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Harness the magic of AI built directly into your inbox with Smart Summaries. Summaries save you precious time by using AI to intelligently capture the main points of an email in just a few sentences.

Users appreciate the new AI email assistant feature for summarizing work emails. They value the opt-in nature and data privacy, as data is not sent outside Gmail. The feature, called Smart Summaries, is currently in open beta. Some users are curious about how it differs from the Jasper extension.

Users expressed concerns about the handling and protection of confidential information.

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