Unlocking Employee Experience Data with AI-Driven Data Access

When we started Data Tiles, my co-founders and I had a clear mission: to create solutions that make data accessible, intuitive and valuable. Over the years I've seen how transformative data can be for businesses, and how frustrating it gets when that data isn't easily accessible or actionable. That's why we built Latttice and ChattterBox: two tools designed to unlock the potential of data through AI, wherever it lives.

Neither was created specifically for Employee Experience (EX), but both offer flexible ways for companies to connect to and draw insights from EX data, solving some of the most pressing challenges in today's workplaces.

Employee Experience encompasses every interaction employees have with their workplace, from daily engagement and productivity to overall well-being. A positive EX translates into higher productivity, lower turnover and greater satisfaction.

Employee experience is becoming the defining factor in retaining talent, and understanding it requires data on engagement, productivity and well-being.

, Harvard Business Review

Data fragmentation across platforms

Employee data is scattered across HR systems, performance reviews, engagement surveys and wellness apps. Fragmentation makes a holistic view nearly impossible, limiting the ability to act on insights cohesively.

Complexity of unstructured data

EX data spans structured metrics like productivity scores and unstructured feedback like open-ended survey responses. Making sense of both requires tools that can handle multiple data types and surface insights worth acting on.

The evolving role of AI in EX

AI is being used to predict turnover, analyze engagement trends and understand employee sentiment. But leveraging AI requires data to be accessible, well-connected and intelligently organized, areas where many companies still struggle.

Latttice was built to address the challenge of accessing and using data across disparate systems. As an AI-powered Data Mesh solution, Latttice connects to data wherever it resides, letting organizations analyze EX data from many sources without centralizing it.

1. Connecting to data with Data Mesh

Latttice connects to multiple EX sources, HR systems, productivity trackers, survey platforms, without forcing consolidation. HR and leadership get a real-time, comprehensive view and can decide faster.

2. Secure, scalable computational governance

EX data is sensitive. Latttice's computational data governance keeps access secure and scalable, letting teams share insights without compromising integrity or compliance.

3. AI-driven predictive insights

Latttice uses AI to rapidly build trusted data products that support predictive insights. Connecting EX sources into one cohesive product helps spot trends, early signs of burnout or disengagement, before they become problems.

Data mesh pushes organizations to think of data in terms of use cases and quantifiable outcomes, not just collecting data for data's sake.

, Coalesce Data Trends Report, 2023

While Latttice offers advanced connectivity and predictive analytics, we built ChattterBox for small and medium-sized businesses that may not have complex data needs but still want to make sense of EX data easily. ChattterBox uses AI chat prompts and natural language queries to keep analysis straightforward.

Natural language queries

Users ask questions in plain language, no technical knowledge required. AI-generated prompts suggest where to look next, surfacing insights they might not have considered.

Quick upload and export

Upload CSV or text files, analyze instantly, export results to Excel or other tools. SMBs gain insight without dedicated analytics infrastructure.

Flexible, free-form exploration

Traditional EX tools ship predefined dashboards. ChattterBox lets users explore dynamically, valuable when data goals aren't fully defined yet.

Data democratization tools are increasingly essential for empowering non-technical users to engage with data directly, supporting a more agile and inclusive data culture.

, DataGalaxy White Paper, 2023

Picture a company with EX data spread across HR and engagement systems but no way to bring it together. Here's how the two tools combine.

Latttice, connect and predict

Connect directly to data sources without centralizing. HR and managers see engagement, productivity and well-being in real time. AI-driven data products power predictive analytics, flagging departments showing early signs of disengagement or stress, while computational governance keeps sensitive data secure.

ChattterBox, quick, self-directed analysis

For team leaders who need a simpler tool, ChattterBox is a friendly way to explore EX data. "What are the top issues in employee feedback from last month?", instant answers, with AI-driven prompts encouraging fresh angles.

Traditional EX tools like Culture Amp and Glint focus on centralized engagement surveys and dashboards. Latttice and ChattterBox take a more flexible, AI-driven approach.

Together they give businesses the tools to use EX data effectively, from advanced data integration and governance to intuitive, self-directed analysis.

Employee experience data is invaluable for building a positive, productive workplace. With Latttice's AI-driven Data Mesh and ChattterBox's user-friendly analysis, organizations can overcome fragmentation and turn EX insights into meaningful actions.

By helping companies access and understand their data, we're working to build workplaces where everyone's experience matters, and where data drives positive change.

1. Coalesce. The Top Data and Technology Trends for 2023 and Beyond.
2. DataGalaxy. 2023: Placing People at the Heart of Data Governance.
3. Orion Governance. 2023 Data Catalogs in Review: Key Trends for Data Management in 2024.
4. DataGalaxy. Data Governance: 5 Trends Transforming Organizations in 2023.
5. Harvard Business Review.