Asklayer's answer
Asklayer is built by a team of experts from Japan and was created out of frustration with low response rates associated with traditional surveys. We found that most users hate surveys, however they are willing to answer a few questions.
So we created Asklayer, a micro-survey tool that presents itself as simple questions to the user to reduce friction and increase response rates. Unlike traditional surveys we collect data after every question so even if the user abandons part way, you still get answers and a measure of the drop-off point.
The results of all these efforts is a much better user experience, a greatly increased response rate and a much greater total volume of data collected.
Asklayer's answer
It's flexible and does most things well. Support is amazing, they even added a feature for me!
Got a really high response rate. I used this in tandem with Promolayer on my EC site for CRO. I did a 'whats missing from this product description' type survey + post purchase + product follow-up email and frankly, it's been amazing. I spent about 2 years trying to figure out my direction via analytics and heatmapping when I should have just been talking to my users the whole time.
Based on our record, Datatang.ai seems to be more popular. It has been mentiond 20 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Data annotation is an essential step in preparing data for use in Machine Learning models. This is where Datatang.ai comes in. Our company specializes in data annotation, providing high-quality and accurate data for training autonomous vehicle machine learning models. Our team of experts works diligently to ensure that every annotation meets the required standards, and our cutting-edge technology ensures that we... Source: about 1 year ago
Data annotation is a crucial action in preparing information for usage in Machine Learning versions. This is where Datatang.ai comes in. Our company specializes in data annotation, supplying high-quality and accurate data for training self-governing car equipment learning designs. Our team of professionals functions vigilantly to ensure that every annotation meets the required requirements, and also our advanced... Source: about 1 year ago
At Datatang.ai, we realize that every project has unique needs, which is why our object tracking dataset is customizable. We work with our clients to ensure that they receive the data that they need for their specific project, whether it's for research, training machine learning models, or developing new products. Source: about 1 year ago
At Datatang.ai, we realize that every job has special needs, which is why our object monitoring dataset is adjustable. We deal with our clients to guarantee that they receive the information that they require for their particular project, whether it's for research study, training equipment learning models, or developing new products. Source: about 1 year ago
At Datatang.ai, we realize that every job has unique needs, which is why our things tracking dataset is personalized. We deal with our clients to make sure that they get the information that they need for their details job, whether it's for research study, training machine discovering versions, or developing brand-new items. Source: about 1 year ago
Ask User - User surveys without stress
Annotate - Annotate (formerly know as Glui) is the simplest way to capture, annotate and share screenshots.
Doorbell.io - Collect in-app user feedback. Available on websites, iOS, and Android.
Labeling AI - Labeling AI is a deep learning-based auto labeling solution that develops and auto-labels custom AI by learning minimal manual labeling data.
Survey Monkey - Create and publish online surveys in minutes, and view results graphically and in real time. SurveyMonkey provides free online questionnaire and survey software.
LabelMe Annotation Tool - LabelMe is an annotation tool writen in Javascript and Perl for online image labeling.