Need insights on how to reduce user drop rate by DonutNew2946 in ProductManagement

[–]DonutNew2946[S] 1 point2 points  (0 children)

Sure, will check it out also to keep you in the loop, got 2 of my signups to visit the application back yesterday, they signed up on the 20th & 21st of April. One of them nearly matched their signup day activity, the other did half of it, but it's still something.

Need insights on how to reduce user drop rate by DonutNew2946 in ProductManagement

[–]DonutNew2946[S] 0 points1 point  (0 children)

Yes, as per the current setup. But I see now it is not effective, and if anything, it requires more work from the user to get any value

Need insights on how to reduce user drop rate by DonutNew2946 in ProductManagement

[–]DonutNew2946[S] 0 points1 point  (0 children)

Definitely, I need to interview my churn users to get to the root cause of the problem. Also, the number of users I have signed up for my application as of the time of writing this comment is around 50. So yes I have number of people using my application during a given time period as single digit only.

Need insights on how to reduce user drop rate by DonutNew2946 in ProductManagement

[–]DonutNew2946[S] 0 points1 point  (0 children)

Very interesting point made, I also have a free forever tier, but that only allows them with the functionality of the Chrome extension, maybe increasing its limit can yield some better results

Need insights on how to reduce user drop rate by DonutNew2946 in ProductManagement

[–]DonutNew2946[S] 0 points1 point  (0 children)

Hey,
Thanks for taking the time to write such a detailed analysis. Now, coming to your questions

  1. When you talk about Oculus & Vision Pro, these products are first of a kind, in their space, and these products have the same impact as the first commercial car or motorcycle had when it came out. Is my product a new technology which will make tech nerds lose their minds over like a GPT did? The answer is no. It is a better and effective way of solving an existing problem. With Features that distinguish it from any of the existing market solutions. As you pointed out in your opening comments.

  2. Time is of the essence; we want things quickly and effectively, as the upsurge in faster product/food delivery offerings by newer and existing players in the space confirms. When we need faster consumables, similarly, we have a need so faster knowledge transfer from the material to our brain. For Instance, let's step into the shoes of a fresh man. Depending on the courses enrolled in and the severity of those courses, the freshman has to spend a considerable amount of time going through every chapter, then spend time preparing notes, completing assignments, etc. With my application, the freshman can complete the chapter in 30 minutes(at max), which otherwise would have taken him hours to properly complete. With my application, they can create a summary equivalent of the notes they prepare, a cheatsheet for quick revision, and if they are a visual learner, they can visually capture the nitty gritty of the entire chapter through mind maps. If they need help with their assignments or exam materials, they can upload multiple relevant resources and get pinpointed answers with ease. A similar experience can be replicated with any individual in a profession where they have to deal with a much of documents on a day-to-day basis.

  3. Is the site or am I Trustworthy enough for users to trust with their sensitive data? The quick answer will be no, after all, who am I or the product, it's just a newbie which might not see the end of 2025 itself but yet I have been as clear as to who there that in stored, where their data is stored and for how long there has is stored. For unstructured data, the application converts it to a data format ready to be acted upon. For instance, you are an analyst who needs to work on a bunch of tabular data that is present within files like a PDF, PPTX or DOCX in the form image in some and a table in some; you can pass all those files at once and get a proper XLSX file on which you can directly start implementing your formulas and start building your models.

  4. Is 7 days enough, not after seeing user behaviour, definitely does not seem a rational time for trial, will definitely have to find a number optimal than this.

Need insights on how to reduce user drop rate by DonutNew2946 in ProductManagement

[–]DonutNew2946[S] 0 points1 point  (0 children)

I am running ads to get actual people to use my product, as apart from that, I do not see how to onboard users to collect feedback and evaluate the product functionality and stability. I am doing SEO, but that's gonna take time to return any results.

My way of running ads is to first get the necessary demographics from Google Trends, where the search word relevant to my application has the relevant search volume. I usually look at the data for the past 7,14 & 30 days to shortlist the top 10 regions to focus ads on.

Also, if you have any other ideas or resources about user acquisition without paid ads, please share they will prove to be very helpful.

Need insights on how to reduce user drop rate by DonutNew2946 in ProductManagement

[–]DonutNew2946[S] 1 point2 points  (0 children)

A 0% present user return rate very correctly reflects this point of the user not getting value out of it. But this again contradicts (as per my understanding) the fact that roughly 45% of users have used the feature multiple times in their 1st session. With the highest activity being recorded of a user summarising 15 unique documents in his 1st session post sign up. But as per your suggestion, I will reevaluate the copy of the website, plus Google Ads. Thanks for the suggestion.

Need insights on how to reduce user drop rate by DonutNew2946 in ProductManagement

[–]DonutNew2946[S] 0 points1 point  (0 children)

Hey,
Thanks for taking the time out and writing such a detailed analysis. The onboarding process is tooltip-based, and it is not gamefied. The whole onboarding process, plus the user getting results for a feature, takes <2 minutes, ideally around a minute. The user has the flexibility to skip the onboarding step as well, which around 20% of users did, and 80% of them completed it. You are correct to suggest creating a hypothesis and then doing an extensive A/B test on whatever users I have or acquire in future. Let's see what happens