Still Deciding Based on the 'Loudest Voice'? Survey Reveals 80% of Business Professionals Feel Anxious About 'Intuition and Experience'
A survey by PRIZMA Inc. reveals that 70% of Japanese corporate decisions rely on subjective factors, with 80% of employees feeling anxious about this. The company introduces 'Sakurisa' to bridge the gap between the desire for data and the barriers to research.
📋 Article Processing Timeline
- 📰 Published: May 28, 2026 at 10:00
- 🔍 Collected: June 1, 2026 at 01:02 (87h 2m after Published)
- 🤖 AI Analyzed: June 1, 2026 at 23:36 (22h 33m after Collected)
Have you ever experienced a situation in a meeting where important policies were decided based on the 'loudest voice' or 'years of intuition'? In today's uncertain business environment, relying solely on past successes or personal feelings can be a major risk for an organization. The latest survey by PRIZMA Inc. highlights the 'strong anxiety' business professionals feel regarding decision-making, and the 'gap between ideal and reality' where they want to use data but cannot due to cost and effort. This report introduces real-world challenges in decision-making and concrete solutions to overcome them. According to the survey, about 70% of companies rely on subjective factors like 'intuition,' 'experience,' and 'loud voices' for more than half of their decisions. However, 80% of employees across all departments feel 'strong anxiety' or concern about decisions based solely on these factors. Notably, the management and planning departments were 1.5 times more likely to report 'extreme anxiety' compared to other departments. The top barriers to conducting research were identified as 'speed,' 'cost,' and 'skill.' To address these, PRIZMA developed 'Sakurisa,' a tool that allows anyone to conduct market research easily. As an industry-first, it offers a zero-cost start, allowing users to conduct surveys of 100 people with 3 questions up to three times a month for free.
FAQ
Why do Japanese companies rely on intuition for decision-making?
High costs, time-consuming processes, and complex internal approvals make it difficult to conduct rapid data-driven research.