Heap

The use of Heap in the company is focused on the development of automated data collection and processing systems. [We use this] to obtain a complete analysis of different areas that require tools with robust analysis systems that can provide verifiable reports to know the possible changes that we must perform. [This allows our] clients [to] feel that we are continuously working to satisfy their needs and also to increase our vision of events and projects in relation to the data that we manage to process in Heap. Although Heap is not the only solution that we are implementing to perform data analysis of the behavior and interests of customers in the company, we can use this tool for more specific aspects that result in productivity growth in high percentages.

Heap is currently used across my whole organization and has helped us to democratize our data greatly. The tool allows all employees access to performance data and empowers users from various departments to engage in site testing by simplifying the reporting process. We use it for everything from tracking daily health metrics to making large-scale decisions about test performance.

Heap is much better compared to Google Analytics/Adobe Analytics as I can label the user tracking events on an adhoc basis. It allows me to get insights quicker and make much better-informed decisions.

Team is now able to track how newly released features and releases recently gone live are performing and helps us get observability level as to what we can be done better for those that aren't performing upto the expectations. Heap is a great tool to help us understand how exactly users are engaging with our platform and what they see as trouble areas.

It helped us summarise out numerous interactions that are used to identify issues in the user experience.

The majority of our experience has been pleasant. With Heap, you have the ability and freedom to assess the user experience of your website at the most fundamental level and then build upon it. This tool, which again operates right out of the box, is the easiest available for determining how each button, design, feature, functionality, page, and tool affects our consumers.

Heap was used and tested for an insights platform. It can enhance the understanding of any type of customer behaviour and path. These insights can be used for better design of processes, understand the user experience, as well as make them use the platforms more. It can pinpoint areas of easiness and difficulty for the customers and this way enable solutions.

How you use Heap in your organization?
We use Heap to auto-capture every user interaction in our website. it used by the product and marketing teams to better understand user behavior, find errors, and make more informed decisions about product changes.

What are the business problems the product addresses and what is the scope of your use case?
When one of our users informs us that he has encountered an issue with our site we use Heap to define events retroactively and immediately do analysis on those events.

we're having company portfolio site that we recently redesigned. to ensure optimal ROI, we went to the market and stumbled upon this magnificent gem of a tool.
even non-technical staff at our office seems to work with Heap just fine. it is heavily dependent on visual aspect like UI/UX. by no means, I'm implying that their backend logic is not sound. its advance and uses latest AI and ML practices to derive its results. they manage a perfect balance and gives best of both worlds.
some of the useful features that we heavily used were, session replay. we pin-pointed customers from certain industry and analyzed their behavior. for example one of our well established customer already had their applications running in cloud, they specifically navigated to the DR (disaster recover) part on the page. after collecting this insight, we approached them and it was a hit. we're now serving them DR solutions.

In our organization we use heap to understand user behavior and system behavior of our applications. Heap has really helped our team to understand user interaction and work on important features which customer use most. Heap also helps our team to work on the issues our user faces while using the application. Heap solves our business problem of understanding the user interactions and the issues they face while using applications.

Heap is mainly used to analyze the user interaction data. It captures the customer data to identify their behaviour to identify the pain points and optimize them for better customer experience

We are using Heap to track and analyze user interactions on the product and determine adoption, usage and other funnel related statistics. There were many undefined events in the past for which we are now able to view the historical data easily, on the spot! It is also very helpful in building the entire funnel and journey of all the users and segment them into multiple buckets

Heap is assisting us in determining our next course of action. We have the ability to verify or disprove any default assumptions we may have. We are better equipped to determine when further in-app or other messages is useful or essential. Naturally, one of the fundamental components is the ability to locate friction points in a process that has been created for our clients.

We use Heap to automatically collect data on our customer behaviour and try to understand the users and their journey. We try to intercept potential problems a user might stumble upon this way.

In our company, we need to build customer's digital journey because we are not following well our customer nor understand them.
So we are using Heap for the digital insights that the software is giving us.

Being from the healthcare industry, Heap tool allows to create graphs, charts in a span of time. In out start-up Heap is the all time best tool used to for the funnel optimisation. It is one of the best analytical tool that we use in our industry on daily basis. Automatic behaviour tracking of our users is the best feature we use it daily

We want to see what is happening in our products and assess the users experiences. We wanted to see what features they are using most and which features are used least.

As an implementation partner, I was tasked with product comparison and choose between various marketing analytics platform. We did a comparitive analysis between Heap and Google Analytics. The scope of my use case was

1. Reduce dependency on engineering team to generate perpetual dashboards.
2. Provide real time data insights for re-marketing and personalization.
3. Quick and continuous site(s) level implementation, based on data insights.
4. Side by side comparison of historical data

The best tool to research user behavior in a storefront sales website. It gives information about the user's path from the website's landing from marketing campaigns or search engines. With this tool, you can track the reasons for a customer to shop and pay and what happens when your storefront does not succeed in a sale. You can research if a logically broken path is affecting your online sales.

In this modern world we always need to balance our organization objectives and the people's need which will eventually lead to successfully journey.

Heap does the exact same thing, it balances both using data analytics. using both predictive framework and adaptive framework it help to achieve the requirements.

In predictive framework it uses past data for analysis where as kn adaptive framework it uses data on fly to achieve the requirements.

Based on scenario we can use both the models.

Heap has also allowed us to see user funnels and behavioral trends. Heap gives us the ability to distinguish different users based on the actions they conduct within our application. While utilizing the tool, from operations to product to business stakeholders, have a real-time pulse on how features are being used by end users, which helps them identify spots of friction and prioritize projects.

Heap analytics is a good platform for analytics and could be used for various use case to visualize data and learn more about it. It is very well priced for the features it has and could be used with so many integrations coming out of the box depending upon your use case.

I used Heap to better understand user behavior and our applications' system behavior. This helps us troubleshoot customer pain points in our system, and formulate a comprehensive solution to rectify the problem. Insights from Heap are also helpful with helping us prioritize what is urgent/important to our users.

We use Heap to collect customer data from our website and application. We use this data to understand how our customers interact and engage with our product. Heap addresses our business problem of having to automatically collect digestible data about our customers so that we can make informed data-driven decisions.

Heap is our core solution used across a large scope of business processes. Heap gives an understanding of customers’ digital journeys, so we can improve conversion, retention, and customer delight. For example, we can now discuss on client journeys in detail, and pinpoint where our pipeline is robust - and where improvements can be made. Heap has enabled us to leverage these insights and improve our ROI. <br>

In our scope we mostly use Heap for identifying and fixing issues. Heap allows us to have immediate insight in all our user behavior by analyzing each step they take on our web domain. If a specific step performs less well, Heap will show us exactly where the performance dropped and why.

We use Heap to track and analyze user interactions on our web platform.