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People management platform Lattice released new AI tools on May 1.
Neha Monga, Lattice’s VP of products, told HR Brew the company is looking to “really infuse AI” into the company’s three pillars: automating workflows so HR pros can focus on strategy, helping people managers run high-performing teams, and supporting organizations’ talent processes.
The company released two iterative features that build on a release from earlier this year and together bring AI to its customers in ways that make the work easier.
One of those features, “key driver analysis,” builds on an AI tool the company launched in March that used generative AI to summarize comments from employee engagement surveys for people pros. The new tool uses AI to synthesize top themes revealed in survey data, relying on both open-ended feedback and engagement scores.
“Sometimes comments only tell you part of the story. You want to look at the holistic survey and get everything,” Monga said.
The company also rolled out a performance summarization feature for managers that summarizes peer reviews and extrapolates key takeaways.
“Of course I apply my judgment too. You don’t want to leave such important discussion, like career coaching, entirely to the hands of AI,” Monga said. “In the end, you want to create space for manager decision-making, that human judgment that needs to be applied on top of [the AI summaries].”
Monga said the company is working on developing additional inputs to help inform performance reviews within Lattice AI, like past reviews or external data sources.
Part of the strategy is to leverage generative AI in ways that users are already familiar with, such as using ChatGPT to write performance reviews, and build them inside the tool for safety and trust, she said.
Monga told HR Brew that the company was building out its AI features iteratively in order to both quickly roll out new tools that might be useful to HR pros and also allow for a two-way feedback loop between Monga and Lattice customers to figure out “what will customers like.”
AI is rapidly evolving, and companies and developers are exploring and experimenting with how to best leverage the tech to improve workplace productivity, as well as myriad other use cases.