AI Provides Seamless Support for Goal Setting, 1on1s, and Evaluations — 'HiManager' Releases 3 New Features to Transform 'System Operations for Management' into 'Time for Talent Development'
HiManager Inc. has released three new AI features in its engagement SaaS 'HiManager' to seamlessly support goal management, 1on1s, and evaluations, reducing managerial workload.
📋 Article Processing Timeline
- 📰 Published: April 14, 2026 at 19:00
- 🔍 Collected: April 14, 2026 at 10:31
- 🤖 AI Analyzed: April 19, 2026 at 18:35 (128h 3m after Collected)
HiManager Inc. (Headquarters: Shibuya-ku, Tokyo; CEO: Mirai Igarashi, hereafter 'HiManager'), a group company of CUEBiC Inc. (Headquarters: Shinjuku-ku, Tokyo; CEO: Hidehito Yoichi, hereafter 'CUEBiC'), will officially launch new features on April 14, 2026, for its engagement SaaS 'HiManager.' These features will seamlessly support the three core areas of HR operations—goal management, 1on1s, and evaluations—using AI. By integrating practical knowledge cultivated through supporting the design and operation of HR systems for over 250 companies into AI, the system will help reduce the time managers spend on administrative tasks, enabling an environment where they can focus on talent development. This feature will be provided as an optional feature for companies subscribing to 'HiManager.'
## Background of Development and Issues Solved
HR evaluations and goal management are critical processes that influence organizational performance. However, the reality in many companies is that the operational workload for managers is high, resulting in inconsistent quality of implementation. While assisting over 250 companies with HR system design and operations, our company identified three recurring challenges:
- Inconsistencies in evaluations and inefficient labor cost allocation: Interpreting standards differently among evaluators creates a risk of compensation distribution that does not reflect actual contributions. Improving evaluation accuracy directly relates to the optimal distribution of labor costs, which is a major corporate expense.
- The hollowing out of goal setting: The granularity and specificity of goals often vary depending on the member, and in many cases, goals set at the beginning of the term become hollowed out.
- Inconsistent quality of 1on1s: Many companies are unable to fully utilize 1on1s as opportunities for talent development due to issues such as 'not knowing what to talk about,' 'ending up as just idle chat,' or 'failing to keep records.'
In response to these challenges, we combined our accumulated expertise with the latest AI technology to release these features that accompany and support the entire cycle from goal setting to evaluation.
## Overview of New Features
### <1> Automatic Generation of Evaluation Drafts
AI comprehensively analyzes data accumulated in 'HiManager,' such as past 1on1 records, praise/feedback history, and goal achievement levels. It automatically creates a draft of evaluation comments and evaluation ranks aligned with evaluation criteria, and even presents the 'reasons for judgment' by breaking down the evaluation perspectives into elements. This allows evaluators to explain 'why this evaluation was given' to the evaluatee with objective reasoning.
### <2> Goal Correction (AI Correction)
AI instantly analyzes the goals set by members from the perspective of SMART principles (Specific, Measurable, Achievable, Relevant, Time-bound) and suggests concrete improvements. Because it also considers the expected standards for each grade and alignment with higher-level goals, it is possible to standardize the granularity of goals across the entire organization.
### <3> 1on1 AI Agenda Proposal and Automatic Minutes Creation
- AI Agenda Proposal: Based on the member's goal progress, past 1on1 history, and condition information, AI proposes 'what should be discussed now.' This eliminates the time spent wondering 'what to talk about' at the beginning of a 1on1.
- AI Minutes: Conversations are transcribed in real-time using microphone recording for face-to-face 1on1s, or through integration with Google Meet, Zoom, and Microsoft Teams for online 1on1s. Key topics, decisions, and next actions are automatically structured and transcribed into the memo field.
- Praise/Feedback Proposal: Based on the content of the minutes, AI automatically creates a draft for praise and feedback. It can be sent to members with a single click.
- Status Summary: AI summarizes a member's goal progress, achievements (Good), and challenges (Motto) within a specified period, streamlining preparation for 1on1s and evaluations.
## Expected Benefits of Implementation
- Reduction of Manager's Workload: The burden managers with multiple subordinates face during the evaluation period—writing evaluation comments for everyone from scratch—is significantly reduced by the AI draft. The time saved can be allocated to improving the quality of feedback interviews.
- Reduction of HR Department's Man-hours: To address the issue of varying specificity and quantifiability in goals, introducing real-time AI correction saves HR staff the trouble of individually reviewing them.
## Background of Development and Issues Solved
HR evaluations and goal management are critical processes that influence organizational performance. However, the reality in many companies is that the operational workload for managers is high, resulting in inconsistent quality of implementation. While assisting over 250 companies with HR system design and operations, our company identified three recurring challenges:
- Inconsistencies in evaluations and inefficient labor cost allocation: Interpreting standards differently among evaluators creates a risk of compensation distribution that does not reflect actual contributions. Improving evaluation accuracy directly relates to the optimal distribution of labor costs, which is a major corporate expense.
- The hollowing out of goal setting: The granularity and specificity of goals often vary depending on the member, and in many cases, goals set at the beginning of the term become hollowed out.
- Inconsistent quality of 1on1s: Many companies are unable to fully utilize 1on1s as opportunities for talent development due to issues such as 'not knowing what to talk about,' 'ending up as just idle chat,' or 'failing to keep records.'
In response to these challenges, we combined our accumulated expertise with the latest AI technology to release these features that accompany and support the entire cycle from goal setting to evaluation.
## Overview of New Features
### <1> Automatic Generation of Evaluation Drafts
AI comprehensively analyzes data accumulated in 'HiManager,' such as past 1on1 records, praise/feedback history, and goal achievement levels. It automatically creates a draft of evaluation comments and evaluation ranks aligned with evaluation criteria, and even presents the 'reasons for judgment' by breaking down the evaluation perspectives into elements. This allows evaluators to explain 'why this evaluation was given' to the evaluatee with objective reasoning.
### <2> Goal Correction (AI Correction)
AI instantly analyzes the goals set by members from the perspective of SMART principles (Specific, Measurable, Achievable, Relevant, Time-bound) and suggests concrete improvements. Because it also considers the expected standards for each grade and alignment with higher-level goals, it is possible to standardize the granularity of goals across the entire organization.
### <3> 1on1 AI Agenda Proposal and Automatic Minutes Creation
- AI Agenda Proposal: Based on the member's goal progress, past 1on1 history, and condition information, AI proposes 'what should be discussed now.' This eliminates the time spent wondering 'what to talk about' at the beginning of a 1on1.
- AI Minutes: Conversations are transcribed in real-time using microphone recording for face-to-face 1on1s, or through integration with Google Meet, Zoom, and Microsoft Teams for online 1on1s. Key topics, decisions, and next actions are automatically structured and transcribed into the memo field.
- Praise/Feedback Proposal: Based on the content of the minutes, AI automatically creates a draft for praise and feedback. It can be sent to members with a single click.
- Status Summary: AI summarizes a member's goal progress, achievements (Good), and challenges (Motto) within a specified period, streamlining preparation for 1on1s and evaluations.
## Expected Benefits of Implementation
- Reduction of Manager's Workload: The burden managers with multiple subordinates face during the evaluation period—writing evaluation comments for everyone from scratch—is significantly reduced by the AI draft. The time saved can be allocated to improving the quality of feedback interviews.
- Reduction of HR Department's Man-hours: To address the issue of varying specificity and quantifiability in goals, introducing real-time AI correction saves HR staff the trouble of individually reviewing them.