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by Aware
How long does it take for information to flow through your organization? What could you do with a direct line between the breakroom and the boardroom? Here’s how three companies are using AI to accelerate productivity in the future of work.
Business silos aren't new, and the negative impact they have on the productivity of the enterprise is well known. Remote, hybrid, and distributed work has exacerbated this problem by isolating employees and creating disjointed reporting structures.
However, the digital transformation also introduced new solutions. Using groundbreaking AI analysis of employee voices at scale, modern leaders are uncovering new efficiencies that cut through silos and transform the way businesses operate.
Aware’s AI data platform for employee listening uses industry-leading natural language processing (NLP) to extract information and insights in real time. This gives business leaders a holistic, 360-degree overview of what is happening in their organization without having to ask a single question. Here’s just three ways those insights are driving change for major enterprises today.
Ensuring the successful rollout of new workplace tools
All the planning in the world still can’t guarantee that a new tool or program rollout will go according to plan. When something goes wrong, how long does it take to discover the root cause and rectify the situation?
One major retailer ran into difficulties onboarding a new frontline task tool, and the ops team was inundated with complaints. They turned to Aware to bring order to chaos. Aware’s smart NLP analysis plugged into the company’s existing collaboration platform to surface the common themes in messages about the new tool. By sorting those themes by sentiment, the ops team was able to identify the root causes of employee frustration and adjust the training process to get the rollout back on track.
Keep Reading: Understanding Sentiment Around New Tools in the Workplace
Resolving technical difficulties in real time
The successful rollout of a new tool is critical to keeping an organization on track, but time-sensitive events often fall through the cracks. If the company is hosting a virtual town hall or training course, for example, it’s important to ensure that any technical issues with the broadcast are resolved immediately. Unfortunately, that often isn’t possible because there’s no good way to report difficulties without overwhelming technical support.
When a global transportation company partnered with a financial services provider to host a series of educational webinars, they deployed Aware to support the real-time detection of technical difficulties and complaints. Thanks to their foresight and Aware’s cutting-edge analytics, they were able to identify problems accessing a webinar and push the solution to multiple devices at once, ensuring all employees could attend without missing any of the content.
Keep Reading: Uncovering Technical Difficulties with Aware’s Spotlight
Uncovering a new source of customer feedback
One major food and beverage chain carries a regularly rotating menu of limited-edition products and is always looking for new channels to receive feedback about how the menu is received by the public. After noticing that Aware surfaced trends within their collaboration tools about the menu items, their product team realized that they could use Aware’s insights to understand real-time public sentiment without relying on slow or expensive surveys.
Today, the company uses a number of rules within the Aware AI platform to discover how customers and employees alike feel about their products. This has led to better innovation within their menu, and also serves to support employees by retiring products that cause problems for their front line.
Keep Reading: Unlocking Faster Feedback from the Front Line
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