How improving workplace search can improve your team productivity

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With the advent of Generative AI, the world of technology is zooming ahead at a breakneck speed. The tools like ChatGPT, Midjourney, Google Bard are not only not only leaving us wide-eyed but also making a significant shift in the traditional dynamics of work.

Let’s rewind back to November 2022, the time when ChatGPT stepped into the limelight. The launch of ChatGPT and other AI tools sparked a debate: would AI take over human roles? At the beginning, the talk was all about picking sides – AI or Human.

However, soon enough, we realized that it’s not an either-or scenario. The future (or is it the present already?) is all about AI and Human shaking hands and improving human workforce productivity like never before.

Generative AI has now become an integral part of our daily operations.

From leveraging tools like MidJourney to generate mesmerizing images, to tapping into ChatGPT as our virtual guide. AI is becoming an indispensable sidekick in all areas from design to coding to writing.

However even with all the advancement you and your team often tend to leave productivity on the table.  

When we hear the phrase “employee productivity,” the first thing that comes to mind is the debate between the Work from Home and Work from Office models. While this discussion holds its own importance, there’s a common challenge that resonates in both scenarios: 

A simple request to “get on a call” or tapping the colleague’s shoulder for quick help.

When you closely look at this request, you will mostly find that the questions revolve around situations where your teammate is unable to find something or has no idea where/how to obtain the information.

Result? 

Those “quick help” disrupts your deep work zone resulting in context switching your brains.

Quite often, you find yourself in the same situation. When you wish to revisit an idea, you either can’t recall the finer details or cannot remember where you read or saw it.

A major culprit behind this phenomenon is information overload. Companies, on average, use over 75 workplace apps, each with its own unique search system. Finding information becomes a task in itself where you have to first adapt to new tools and then deal with constantly changing interfaces. The struggle to quickly find information halts your project and leads to frustration.

Solution?

A universal search experience. 

It works like ChatGPT but for your internal workspace. So when you want to find information, the tool analyzes information from all the workspace applications you have connected and instantly gives the relevant answer along with the source.

The application of implementing a universal search is not limited to one function or team. This is something that can be utilized across the organization as per their requirements.

Consider the employee helpdesk, where responses can be customized based on team profiles. If a team member from India inquires about the leave policy, they receive one response, while a team member from the US with the same query gets another (in case there are different policies for each team).

Picture the support team effortlessly finding the most updated information across various tools like Slack, Notion, Intercom, Zendesk, and more. No need to wait for updates or hunt for most updated information – All they are required to do is ask questions.

Product teams often have to track metrics across different tools. This solution allows them to find information from various sources like HubSpot, Jira, Confluence, all with a simple question.

A centralized search can unblock your team and often help in surfacing information that, at first, none of you were aware of in the company documents.

Explore Albus and experience how information accessibility help you improve your team productivity.

Chintan Bavishi

Product Marketing Manager at Springworks.

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