What Causes Employees to Spend So Much Time Searching for Information at Work?

Ask anyone what they were doing right before their last meeting, and there's a decent chance the honest answer is "trying to find a file." Not writing. Not thinking. Searching, through Slack, through email, through three different folders named some variation of "Final," hoping the version they need hasn't been renamed, moved, or quietly deleted by someone who thought it was a duplicate.

It's easy to write this off as a minor annoyance, the digital equivalent of misplacing your keys. It's actually a lot bigger than that. Coveo's 2022 workplace research, based on a survey of 4,000 employees across the UK and US, put the average at 3.6 hours a day spent searching for information, up an hour from the year before. IT staff fared worse, closer to 4.2 hours. That's roughly half a working day, every day, spent looking rather than doing.

The obvious question is why. The honest answer has nothing to do with people being bad at organizing things. Most companies have built information environments that make searching genuinely difficult, then asked employees to compensate for that with effort and memory. Here's where that actually breaks down.

Nobody's information lives in one place anymore

The first, most mechanical reason searching takes so long is that there's no longer a single place to search. Information about any given topic, a client, a policy, a product launch, tends to be scattered across email threads, Slack channels, shared drives, a wiki that half the company doesn't know exists, and someone's personal notes app. Coveo's same research found that 60% of employees have to search across four or more separate data sources just to get through a normal day, and close to a fifth are juggling seven or more.

Each of those tools is perfectly reasonable on its own. Email works fine for correspondence. Slack works fine for quick back-and-forth. A shared drive works fine for storing files. The problem is that nobody decided which one is authoritative for which kind of information, so employees end up checking all of them, in whatever order feels most promising that day, hoping one of them has what they need.

This is compounded by how these tools actually behave. Slack messages scroll out of view within hours. Email threads fork and fragment the moment more than two people reply. Shared drives accumulate folders named by whoever created them, with no shared logic for how anyone else might look for the same thing later. These tools were built for exchange, not for reference, and exchange doesn't leave behind a trail that's easy to retrace months after the fact.

The information that does exist is often wrong

Say someone actually finds a document. That's not the end of the problem. It might be the start of a new one, because there's a reasonable chance what they found is outdated, contradicted by something newer, or simply wrong.

This happens for an unglamorous reason: nobody's responsible for keeping it current. A policy gets written, gets shared, gets used for eighteen months, and then quietly stops matching reality after a reorg or a process change. Nobody goes back and updates the original document, because updating it was never anyone's job in the first place. The next person who finds it has no way to know it's stale. They either act on bad information or, if they're cautious, spend extra time verifying it with someone else before trusting it, which defeats the entire purpose of having written it down.

Multiply this across a company with a few hundred pages of internal documentation and the real problem comes into focus. Finding something isn't actually the hard part. Trusting it is.

When search fails, people ask a person instead

Here's what tends to happen once someone gives up on finding something through search: they ask a colleague. It feels efficient in the moment, usually faster than digging through five tools, but it comes at a cost that doesn't show up on anyone's calendar. The person being asked has to stop what they were doing to answer a question that, ideally, shouldn't have required an interruption at all.

This adds up to a genuinely large tax on organizational time, and it disproportionately falls on the same handful of people, usually the ones who've been around the longest, or who happen to know where things are buried. They become de facto human search engines. Every time they leave a meeting to answer a Slack DM about where last quarter's numbers live, that's time not spent on whatever they were actually hired to do.

There's also a quieter cost that's easy to miss: frustration. Coveo's research found that over 31% of employees who struggled to find information reported feeling burned out because of it, and 16% said the frustration made them consider leaving their job entirely. That's a striking number for something that sounds, on paper, like a minor operational inefficiency. Spending a third of your day hunting for things you're fairly sure exist somewhere is a genuinely demoralizing way to work, even if nobody would put it in those terms out loud.

More tools doesn't fix it, and sometimes makes it worse

The instinctive fix, when search feels broken, is to add a better search bar, or a new tool that promises to finally organize everything. This helps less often than it should, for a simple reason: a new tool doesn't retroactively fix the content underneath it. If the underlying information is still scattered, still poorly tagged, still sitting in five different systems with no clear owner, a shinier search interface on top just returns the same mess faster.

Industry surveys on this consistently find the same underlying pattern. Companies keep adding platforms for documenting and sharing information without consolidating anything, and the number of places an employee might need to check keeps climbing rather than shrinking. More recent KM industry research puts the number of active documentation platforms at over five in a majority of organizations, which tracks with what most people experience anecdotally. Nobody decided to have this many places to look. It just accumulated one reasonable decision at a time.

What actually helps isn't a faster search box. It's fewer, better-organized places to search in the first place, along with someone accountable for keeping what's there accurate. Search technology can only be as good as what it's searching through.

Where Happeo can help

None of this gets solved by telling employees to search better, and it doesn't get solved by adding yet another tool to the pile they're already juggling. It gets solved by giving company-wide information a genuine home: one place that's actually maintained, actually tagged consistently, and actually connected to the tools people already spend their day in.

That's the specific problem Happeo is built around. Rather than adding another disconnected system to search through, it sits inside Google Workspace, surfacing company knowledge where employees are already working instead of asking them to go somewhere new and hope they remember to check it. Ownership can be assigned to specific pages and spaces, so there's an actual answer to who's responsible for keeping something accurate, rather than a shrug. And because it's built to be searched, not just stored in, finding something doesn't depend on remembering which of seven tools it might be living in this week.

None of that removes the harder organizational work of deciding what belongs where and who's accountable for it. But it gives that work somewhere durable to live once a company decides to do it, which is a very different starting point than trying to search harder across the same scattered mess.

The real fix isn't a better search bar

It's tempting to treat this whole problem as a technology gap, something a smarter algorithm or a more powerful search function will eventually solve on its own. But the companies losing the most time to searching usually aren't missing good search technology. They're missing a decision about where information should live, who's responsible for it, and how it gets kept current once the person who wrote it moves on to something else.

Fix that, and search stops being the hard part. The information was usually there all along. It just didn't have anywhere reliable to be found.

Frequently asked questions

Is spending hours a day searching for information actually normal, or is something wrong?
It's common, but that doesn't mean it's inevitable. Research cited above puts the average closer to half a working day spent searching rather than doing. That's not a sign employees are disorganized. It's usually a sign that information is genuinely scattered across too many disconnected systems, with no single one treated as authoritative.

If a company adds a better search tool, does that fix the problem?
Not by itself. A search tool can only surface what's actually there, so if the underlying information is still scattered, outdated, or duplicated across five different systems, a faster search bar just returns that same mess more quickly. The fix has to start with the content itself, not the tool searching through it.

Why does finding a document sometimes create a new problem instead of solving one?
Because finding something and trusting it are two different steps. If nobody's responsible for keeping a given policy or process document current, there's no way to know whether what you've found still reflects reality. People either act on it and risk being wrong, or double-check with a colleague first, which erases most of the time search was supposed to save.

Why do employees ask a colleague instead of searching, even when it interrupts someone else's day?
Because it usually feels faster in the moment, even though it isn't free. Asking a colleague shifts the cost from the person searching to the person being asked, and it tends to fall disproportionately on whoever's been around long enough to know where things are buried, which quietly drains their time as much as anyone else's.

What actually reduces time spent searching, if not more tools?
Fewer, better-organized places to look, with someone accountable for keeping what's there accurate. That combination, consolidation plus ownership, tends to matter more than any individual platform's search capabilities, since even the best search technology can only be as reliable as the content it's searching through.