Working with data, especially behavioral data, can be demanding and time-consuming. Sometimes even the most basic mistakes can lead to drawing the wrong conclusions and compromising your business growth. Fortunately, there is a way to generate instant insights for those who lack analytical skills in the company but are obliged to make data-informed decisions. And that way is mostly based on AI.
The Biggest Challenges in Data Analysis
Nowadays, the majority of enterprises integrate data-driven approaches within their firms by creating a department responsible for data analysis. This way, a project team has to formulate a specific question that they can send to the data department and wait for the reports ready for further analysis. Can you notice any downsides of this approach?
The biggest challenge in this workflow is how time-consuming it is – the team needs to pass the information back and forth, until it eventually comes back to them with some answers. Moreover, the data department can never be fully sure what exactly each of the project teams will need. Therefore, they need to store huge amounts of data “just in case”. In reality, most of this data is never accessed, let alone analyzed. Moreover, with the loads of data, it is hard to navigate to pick the pieces that will answer the specific question. And most importantly, be sure that the data we choose for the analysis is actually the one that will reveal the answer. This eventually leads to huge data overload in the company.
For smaller businesses or startups that don’t have a dedicated data team, the issue lies within the access to needed knowledge. Even if the company knows that the behavioral analytics would enhance their work, they don’t always have the knowledge and experience needed to perform the in-depth analysis themselves, or with tools such as Hotjar or Google Analytics. The integration of these tools and building a knowledge base seems too time-consuming, so eventually the idea of data-driven strategy might be abandoned and replaced with old-school “intuition based decision-making”.
Working with Meaningful Data
CUX.io stands out among other analytical tools thanks to its simplicity – you don’t need any technical expertise to integrate it with your company. Instead of allowing users to build endless dashboards with metrics that don’t have meaningful results, CUX prepares these dashboards itself. Thanks to the precise ML technology behind it, CUX is able to show you which information is meaningful, and what results carry actual insights to your business. It focuses on highlighting the potential issues, pain-points, or frustrations your users are experiencing – thanks to that, you can focus on what actually matters on your website. It allows you to get a helicopter view of what the company might have to improve to drive the metrics. It first highlights the issues that the website has, that then can be solved by particular project teams. You don’t have to blindly surf among your data!
Moreover, CUX also solves the issues related to data-overload – thanks to goal-oriented analysis, it stores only the data that is needed. Instead of having endless bites of unnecessary information, CUX is able to pick the pieces that together solve the puzzle: what do your users actually need?
AIocado is a newly developed, advanced technology that allows the users to speak to a virtual AI-assistant within their CUX projects. Think about AIocado as an expert that will help you navigate through the dashboards, analysis, and results – all accessible 24/7 and integrated with the current CUX platform.
The most important thing about AI concierge is that it is not just a chatbot or client support. Of course, it has the ability to answer general questions about digital experience analysis. However, the main advantage of AIocado is that it’s able to give you personalized answers and interpretation of your results, instead of just general definitions. Because it is integrated with Digital Expeirence Analytcic, it has access to the same data as CUX itself. Therefore, it has the ability to explain the insights you get from CUX, analyze the metrics, and recommend the next steps or conclusions based on your data.
Moreover, if you have any thoughts or ideas, you can ask AIocado if it agrees with your point of view, or maybe has a different perspective. For new users, AIocado can be a guide for the analytics, explaining the true meaning behind numbers on CUX’s dashboards. For experienced users and data-ninjas, it can challenge your way of thinking, give new ideas and perspectives you might have not come up with yourself.
How Does AIocado Work?
AIocado is an interface for exchanging information between the client and CUX. It is far beyond a generative language model that gives automatic answers to the questions. AIocado was build thanks to integrating numerous models, including:
- Language model tools to understand and answer the questions,
- Classification models to decide which answer to give,
- Many more models that work together and compliment each other to create the “brain” that generates the most meaningful and helpful responses possible.
When clients open CUX, they will be able to access the AIocado interface within their project. Whenever they have a doubt regarding the results they see on the dashboard, don’t understand the metric, or simply look for inspiration on how to improve their results, they can ask the virtual assistant for help. Then, AIocado will generate the answer based on their data, metrics, and overall analysis conducted by CUX for the specific client.
Why Integrate Alocado into Analytical Work?
There are several benefits from integrating AIocado to your daily work. First, it will save you and your company time you would normally need to spend on brainstorming and analyzing the results and insights. And as we all know – time is money! Whenever you are stuck or don’t know what to do next, you can simply ask the AI-assistant for help. AIocado is available 24/7, so you don’t have to worry about waiting for the response from customer service.
Moreover, because AIocado is fully integrated with your data, it is ready to receive any inquiries the moment you start your project with CUX. It is able not only to analyze the current flow of data and analysis, but also can access the history and answer doubts or questions about anything that happened or was analyzed in the past.
The biggest advantage of using AIocado is that you are the one controlling what kind of assistance it will give you. For less advanced users, it will be able to create a plan for analysis with all the steps needed to navigate within the platform. For data-ninjas, it has the ability to challenge your views and give new, unique ideas about the insights. Whatever you need – AIocado is here to help you!
Data and Security Measures
At CUX, the number one priority is to ensure that your data is safe and secured. Therefore, it is important to emphasize that AIocado is built entirely in-house by the same team that is responsible for the CUX platform itself. It doesn’t use any external providers or APIs. This way, CUX has full control over what is happening within AIocado and can guarantee a safe data flow. It is compilable with all data security standards and protocols (like GDPR, SSL, SOC etc.).
Becoming an AIocado User
AIocado is currently in beta-testing phase and by the end of July it should be opened for public use. However, you can sign up for AIocado waitlist that gives you access to Priority Access to use the Concierge, as well as all updates and news regarding the launch of the product or the technology itself.