Yoitoki Proposes Personalized Encounters Based on 16-Type Relationship Tendency Data Using Psychostatistics
Yoitoki, a digital marketing and matching platform company, has released a research report proposing personalized encounters using 16-type relationship tendency data based on psychostatistics. By emphasizing inner compatibility rather than traditional condition-based matching, the company aims to solve the social issue of difficulty in maintaining long-term relationships.
📋 Article Processing Timeline
- 📰 Published: April 30, 2026 at 19:00
- 🔍 Collected: April 30, 2026 at 10:31
- 🤖 AI Analyzed: April 30, 2026 at 11:29 (58 min after Collected)
Digital marketing and matching platform company "Yoitoki" announced in April 2026 the results of a survey and its corporate activities, proposing personalized encounters that are optimized for individual characteristics, utilizing 16-type relationship tendency data based on psychostatistics. Based on 10,000-person statistical data and its latest internal survey, the company reports the potential to solve social issues through "inner compatibility" that goes beyond traditional "condition matching."
1. The Necessity of a "Scientific Approach" in the Matching Market
In modern society, dating and marriage-hunting methods have become more efficient with the widespread use of matching apps and consultation services. However, while the "number of encounters" has increased, a new social issue has emerged: the difficulty of "maintaining long-term relationships."
According to the Ministry of Health, Labour and Welfare's "2024 (Reiwa 6) Demographic Statistics" and related legal consultation data, the leading cause of divorce for many years has been "personality incompatibility," consistently accounting for approximately 30% of all cases. This suggests that matching based on "visible conditions" such as appearance, income, and occupation does not guarantee essential "value compatibility" or "communication compatibility."
Yoitoki believes that a personalized approach based on psychostatistics, particularly the MBTI (16-type personality assessment), is a powerful means to contribute to reducing mismatches, and is promoting the collection and utilization of its empirical data.
2. Data-Driven Current Analysis: The "Science of Compatibility" Revealed by 10,000 Statistics
The foundation of this report is the "MBTI-specific matching success rates" derived from 10,000-person data published by Hitooshi (announced in April 2025). Analyzing this vast dataset reveals that statistically significant "ease of formation" and "ease of conflict" exist between specific personality types.
[Facts on Matching from Statistics]
Differences in cognitive functions: While pairs with different ways of perceiving things (Sensing S-type vs. Intuition N-type) may be initially attracted, serious conflicts often arise in long-term decision-making.
Differences in judgment processes: When the priorities of emotion (F) and logic (T) are reversed, a discrepancy in "sense of understanding" occurs in daily communication, leading to the accumulation of stress.
These facts indicate the potential to transform the element of "luck" in personal compatibility into a statistically "predictable risk."
3. Internal Survey Results: Changes in "Satisfaction" Through the Use of Psychostatistics
Yoitoki's independent survey conducted in April 2026 (sample size 500) measured how a psychostatistical approach affects user behavior.
[New Discovery: The Usefulness of Personalization]
Reduction of mismatches: When individuals understood their own 16-type characteristics and were matched with partners possessing recommended characteristics, the "discrepancy from expectations" after the first meeting decreased by 22% compared to conventional methods.
Improvement in long-term continuation intent: Pairs who shared 16-type relationship tendency data beforehand recorded 1.4 times higher relationship satisfaction after 3 months of dating compared to the group that did not utilize the data.
These data suggest that providing "personalized encounters" tailored to individual characteristics directly leads to resolving the social anxiety of "early separation" in dating and marriage hunting.
4. Social Implementation of Expert Knowledge: Yoitoki's Specific Initiatives
Yoitoki positions psychostatistical knowledge not merely as "diagnostic content" but as a "design blueprint for encounters" for a sustainable social infrastructure. This democratizes the specialized matching know-how of traditional marriage agencies through the latest AI technology. With its proprietary system "Kokoro Musubi AI" at its core, the company is implementing social solutions through the following three pillars:
① Structuring 16-type relationship tendency data
In the "MBTI Love Diagnosis" offered as an entry point for younger generations, it not only determines the type but also generates "behavior predictions" and "communication manuals" based on psychostatistics. This enables users to objectively understand the "motives" behind their partner's words and actions. This serves as an important data foundation for "meaningful encounters" that shift from quantity to quality.
② Optimizing matching through data personalization
It abolishes conventional algorithms that prioritize "popular users" and proposes different "optimal forms of encounter" for each individual based on their psychological characteristics (introversion/extroversion, judging/perceiving, etc.). "Kokoro Musubi AI" analyzes emotional preferences, relationship goals, and life biorhythms, achieving precise recommendations that affirm diverse forms of happiness not bound by specific values.
③ Reducing psychological burden and safety
1. The Necessity of a "Scientific Approach" in the Matching Market
In modern society, dating and marriage-hunting methods have become more efficient with the widespread use of matching apps and consultation services. However, while the "number of encounters" has increased, a new social issue has emerged: the difficulty of "maintaining long-term relationships."
According to the Ministry of Health, Labour and Welfare's "2024 (Reiwa 6) Demographic Statistics" and related legal consultation data, the leading cause of divorce for many years has been "personality incompatibility," consistently accounting for approximately 30% of all cases. This suggests that matching based on "visible conditions" such as appearance, income, and occupation does not guarantee essential "value compatibility" or "communication compatibility."
Yoitoki believes that a personalized approach based on psychostatistics, particularly the MBTI (16-type personality assessment), is a powerful means to contribute to reducing mismatches, and is promoting the collection and utilization of its empirical data.
2. Data-Driven Current Analysis: The "Science of Compatibility" Revealed by 10,000 Statistics
The foundation of this report is the "MBTI-specific matching success rates" derived from 10,000-person data published by Hitooshi (announced in April 2025). Analyzing this vast dataset reveals that statistically significant "ease of formation" and "ease of conflict" exist between specific personality types.
[Facts on Matching from Statistics]
Differences in cognitive functions: While pairs with different ways of perceiving things (Sensing S-type vs. Intuition N-type) may be initially attracted, serious conflicts often arise in long-term decision-making.
Differences in judgment processes: When the priorities of emotion (F) and logic (T) are reversed, a discrepancy in "sense of understanding" occurs in daily communication, leading to the accumulation of stress.
These facts indicate the potential to transform the element of "luck" in personal compatibility into a statistically "predictable risk."
3. Internal Survey Results: Changes in "Satisfaction" Through the Use of Psychostatistics
Yoitoki's independent survey conducted in April 2026 (sample size 500) measured how a psychostatistical approach affects user behavior.
[New Discovery: The Usefulness of Personalization]
Reduction of mismatches: When individuals understood their own 16-type characteristics and were matched with partners possessing recommended characteristics, the "discrepancy from expectations" after the first meeting decreased by 22% compared to conventional methods.
Improvement in long-term continuation intent: Pairs who shared 16-type relationship tendency data beforehand recorded 1.4 times higher relationship satisfaction after 3 months of dating compared to the group that did not utilize the data.
These data suggest that providing "personalized encounters" tailored to individual characteristics directly leads to resolving the social anxiety of "early separation" in dating and marriage hunting.
4. Social Implementation of Expert Knowledge: Yoitoki's Specific Initiatives
Yoitoki positions psychostatistical knowledge not merely as "diagnostic content" but as a "design blueprint for encounters" for a sustainable social infrastructure. This democratizes the specialized matching know-how of traditional marriage agencies through the latest AI technology. With its proprietary system "Kokoro Musubi AI" at its core, the company is implementing social solutions through the following three pillars:
① Structuring 16-type relationship tendency data
In the "MBTI Love Diagnosis" offered as an entry point for younger generations, it not only determines the type but also generates "behavior predictions" and "communication manuals" based on psychostatistics. This enables users to objectively understand the "motives" behind their partner's words and actions. This serves as an important data foundation for "meaningful encounters" that shift from quantity to quality.
② Optimizing matching through data personalization
It abolishes conventional algorithms that prioritize "popular users" and proposes different "optimal forms of encounter" for each individual based on their psychological characteristics (introversion/extroversion, judging/perceiving, etc.). "Kokoro Musubi AI" analyzes emotional preferences, relationship goals, and life biorhythms, achieving precise recommendations that affirm diverse forms of happiness not bound by specific values.
③ Reducing psychological burden and safety