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What research tells us about focus, meeting follow-through, AI assistance and shared direction.
THE SZORA WHITE PAPER
A concise guide to the work around meetings, what AI can improve, and how connected context can help your business move forward.
Independent findings help explain the problems Szora is built to address. These studies examine other populations and tools; they do not measure Szora’s results.
Respondents said they lacked enough uninterrupted time to focus.
A survey of 31,000 people across 31 markets. The finding describes perceived difficulty, not the percentage of working hours lost.
Protecting attention starts with reducing the work around the work: finding context, preparing notes and reconstructing decisions.
Respondents felt that searching for information took too much of their working day.
The same global survey. This is not a measured time-saving rate.
Bring the relevant history to the next conversation, with the source attached.
Respondents reported unclear next steps after meetings.
This does not mean 55% of meetings fail. It captures a common difficulty reported by participants.
A decision needs an owner, a date and a place to return to it.
AI-assisted customer-support agents resolved more issues per hour, on average.
Field evidence from 5,172 agents at one enterprise software company. Gains differed with experience and skill.
The strongest lesson is to put relevant knowledge into the moment someone needs it. This is not a measured Szora result.
AI-assisted participants completed professional writing tasks in less time; quality scores rose 18%.
A randomised experiment with 453 college-educated professionals. These results concern specific writing tasks, not a whole working week.
Drafting summaries and updates can free attention for judgement. People still review what is produced.
Participants completed tasks within the tested AI system’s capabilities faster.
A preregistered experiment with 758 knowledge workers. On a task outside that boundary, AI users were 19% less likely to reach the correct solution.
Automation works best with clear boundaries, evidence and human review. Speed alone is not the outcome.
Only 45% of US employees strongly agreed they knew what was expected of them at work.
The finding refers to November 2024. The remaining respondents did not all report having no understanding.
Keep the objective, responsibility and next commitment visible together.
“next steps at the end of a meeting are unclear”Microsoft Work Trend Index, 2023 · Reported by 55% of respondents
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