Panalyt Launches "Insight Report," a New Feature Connecting Human Capital Data to Management Decisions
Panalyt has launched "Insight Report," a new feature that connects human capital data to business decisions. Utilizing a proprietary PQ library, it automatically generates three-layered reports (facts, insights, actions) to overcome the structural limitations of data dashboards.
📋 Article Processing Timeline
- 📰 Published: April 23, 2026 at 19:00
- 🔍 Collected: April 23, 2026 at 10:31
- 🤖 AI Analyzed: April 23, 2026 at 12:40 (2h 8m after Collected)
Panalyt Inc. (Headquarters: Minato-ku, Tokyo; Representative Director and CEO: Takako Ogawa, hereinafter "Panalyt"), a strategic HR partner that supports "management decision-making" with data and AI, has started providing a new feature, "Insight Report," which converts human capital data into the basis for management decisions.
While the mandatory disclosure of human capital is progressing, only a minority of companies are successfully connecting visualized data to actual management decisions and HR policies. This feature utilizes the company's proprietary PQ (People Questions = HR questions directly linked to management contribution) library, consisting of approximately 200 questions, to automatically generate reports for each company's management issues in three layers: facts, insights, and next actions. It supports the transition from simply "looking" at human capital data to "judging and acting" upon it.
The Blind Spot in Human Capital Management Beyond Disclosure: The Structural Limits of Decision-Making with Dashboards
With the mandatory disclosure of human capital and the penetration of the "Ito Review on Human Resources," the organization and visualization of HR data are rapidly advancing, mainly among large corporations. On the other hand, many companies face a wall in the phase of connecting data visualized on dashboards, etc., to concrete "management decisions" and "HR policies."
This stagnation is by no means due to a lack of skills in the HR department. The root cause lies in the "structural wall" of linking siloed data with different timeframes and granularities to quantify causal relationships, which vastly exceeds the scope of normal operations.
Panalyt has directly addressed this structural issue unique to HR data and developed the new feature, "Insight Report," which elevates raw data into "grounds for decision-making." By structuring fragmented information from end to end and automatically presenting the background factors and next actions that can be read from the data, it encourages management and HR to make decisions without hesitation.
Systematizing approximately 200 questions directly linked to management decisions: The PQ (People Questions) Library
Supporting the core of the Insight Report is the PQ library that Panalyt has independently built and accumulated. PQ is a structuring of "important HR questions directly linked to management contribution" in the form of questions. Rather than simple metrics like "What is the turnover rate?", it refers to questions directly linked to management decision-making, such as "Why is the productivity gap expanding at this location?", "Where is the bottleneck preventing an increase in the ratio of female managers?", and "What are the common traits of personnel who produce results in new businesses?"
[Features]
1. Classification System
A matrix of the Management Contribution Axis (Sales Promotion / Cost Optimization / Productivity Improvement / Risk Mitigation) and the HR Process Axis (Recruitment / Development / Transfer and Placement / Performance and Evaluation / Retention and Turnover / Cross-cutting Themes) systematizes about 200 PQs (continuously expanding in response to the evolution of issues and hypotheses).
2. Customization
Profiling is conducted along five axes: major industry category, employee size, business stage, organizational form, and data infrastructure maturity, to select the optimal PQs from the library. We also support the design of additional PQs according to the priority issues of individual companies.
3. Continuous Evolution
The library is continuously expanded based on the accumulation of analysis track records and hypothesis testing at implementing companies. The data of each implementing company is subjected to strict anonymization and generalization processing before being returned as intellectual assets that improve the "accuracy of questions and resolution of hypotheses" in the PQ library. Individual company data is never diverted to other companies.
4. Causal Chain Design
Individual PQs are designed not as independent indicators but as structures connected by causal chains. By analyzing the relationship between multiple PQs, structural issues invisible through superficial numbers are highlighted, demonstrating the causal path (impact path) to management results.
Automatically Structuring the "Judgment" Beyond the Numbers in Three Layers: Fact, Insight, and Action
The Insight Report automatically structures the following three layers for each selected PQ, outputting a report that allows the HR department, corporate planning, and location managers to converse in a common context from the "meaning of the numbers" to the "judgment." It is designed to deliver the necessary insights for any decision-making process, whether it be policy formulation, effect verification, or problem identification.
[3-Layer Structure of the Insight Report]
By consistently structuring these three layers, the Insight Report transforms human capital data from "look and end" to "judge and act." Reading the numbers, forming hypotheses, verifying them in the field, executing measures, and monitoring the effects—as this cycle continues to turn, human capital management changes from "ad hoc responses" to "continuous management practice rooted in data."
[Operational Cycle of the Insight Report]
Furthermore, this feature can be utilized even at the stage where individual company data has not yet been accumulated in Panalyt. For listed companies, based on public information such as integrated reports, medium-term management plans, securities reports, and human capital disclosure information, initial hypotheses regarding the HR issues that should be prioritized can be generated for management meetings.
While the mandatory disclosure of human capital is progressing, only a minority of companies are successfully connecting visualized data to actual management decisions and HR policies. This feature utilizes the company's proprietary PQ (People Questions = HR questions directly linked to management contribution) library, consisting of approximately 200 questions, to automatically generate reports for each company's management issues in three layers: facts, insights, and next actions. It supports the transition from simply "looking" at human capital data to "judging and acting" upon it.
The Blind Spot in Human Capital Management Beyond Disclosure: The Structural Limits of Decision-Making with Dashboards
With the mandatory disclosure of human capital and the penetration of the "Ito Review on Human Resources," the organization and visualization of HR data are rapidly advancing, mainly among large corporations. On the other hand, many companies face a wall in the phase of connecting data visualized on dashboards, etc., to concrete "management decisions" and "HR policies."
This stagnation is by no means due to a lack of skills in the HR department. The root cause lies in the "structural wall" of linking siloed data with different timeframes and granularities to quantify causal relationships, which vastly exceeds the scope of normal operations.
Panalyt has directly addressed this structural issue unique to HR data and developed the new feature, "Insight Report," which elevates raw data into "grounds for decision-making." By structuring fragmented information from end to end and automatically presenting the background factors and next actions that can be read from the data, it encourages management and HR to make decisions without hesitation.
Systematizing approximately 200 questions directly linked to management decisions: The PQ (People Questions) Library
Supporting the core of the Insight Report is the PQ library that Panalyt has independently built and accumulated. PQ is a structuring of "important HR questions directly linked to management contribution" in the form of questions. Rather than simple metrics like "What is the turnover rate?", it refers to questions directly linked to management decision-making, such as "Why is the productivity gap expanding at this location?", "Where is the bottleneck preventing an increase in the ratio of female managers?", and "What are the common traits of personnel who produce results in new businesses?"
[Features]
1. Classification System
A matrix of the Management Contribution Axis (Sales Promotion / Cost Optimization / Productivity Improvement / Risk Mitigation) and the HR Process Axis (Recruitment / Development / Transfer and Placement / Performance and Evaluation / Retention and Turnover / Cross-cutting Themes) systematizes about 200 PQs (continuously expanding in response to the evolution of issues and hypotheses).
2. Customization
Profiling is conducted along five axes: major industry category, employee size, business stage, organizational form, and data infrastructure maturity, to select the optimal PQs from the library. We also support the design of additional PQs according to the priority issues of individual companies.
3. Continuous Evolution
The library is continuously expanded based on the accumulation of analysis track records and hypothesis testing at implementing companies. The data of each implementing company is subjected to strict anonymization and generalization processing before being returned as intellectual assets that improve the "accuracy of questions and resolution of hypotheses" in the PQ library. Individual company data is never diverted to other companies.
4. Causal Chain Design
Individual PQs are designed not as independent indicators but as structures connected by causal chains. By analyzing the relationship between multiple PQs, structural issues invisible through superficial numbers are highlighted, demonstrating the causal path (impact path) to management results.
Automatically Structuring the "Judgment" Beyond the Numbers in Three Layers: Fact, Insight, and Action
The Insight Report automatically structures the following three layers for each selected PQ, outputting a report that allows the HR department, corporate planning, and location managers to converse in a common context from the "meaning of the numbers" to the "judgment." It is designed to deliver the necessary insights for any decision-making process, whether it be policy formulation, effect verification, or problem identification.
[3-Layer Structure of the Insight Report]
By consistently structuring these three layers, the Insight Report transforms human capital data from "look and end" to "judge and act." Reading the numbers, forming hypotheses, verifying them in the field, executing measures, and monitoring the effects—as this cycle continues to turn, human capital management changes from "ad hoc responses" to "continuous management practice rooted in data."
[Operational Cycle of the Insight Report]
Furthermore, this feature can be utilized even at the stage where individual company data has not yet been accumulated in Panalyt. For listed companies, based on public information such as integrated reports, medium-term management plans, securities reports, and human capital disclosure information, initial hypotheses regarding the HR issues that should be prioritized can be generated for management meetings.