Transforming Interviews from a 'One-Shot Game' to an 'Improvable Process'

NEXT STANDARDS Inc. (Headquarters: Tokyo; Representative Director: Nakao) is pleased to announce that it will begin offering 'Interview Mode,' a new feature specializing in interview preparation, within its AI meeting minutes app 'DeepNote,' starting in May 2026 (date TBD).

This feature will consistently support users from resume creation, based on their background, strengths, and self-analysis information, to providing suggested answers for questions and reviewing their performance. This transforms traditional 'experience-dependent' interview preparation into a data-driven, improvable process.

Web application screen image

Background | Interviews are structured in a way that prevents 'preparation and review'

While interviews are a crucial process that greatly influences success or failure in job hunting and career changes, they present challenges such as:

* Not knowing what will be asked
* Being unable to review whether one's answers were appropriate
* Limited opportunities to receive feedback

Many interview preparation methods tend to focus on 'pre-preparation,' such as mock interviews and resume reviews, and lack sufficient mechanisms for continuous improvement based on actual interview experiences.

Overview | 'Interview Mode' transforms interviews into a 'learnable skill'

DeepNote's 'Interview Mode' will provide the following support before and after an interview:

■ Before the interview (Preparation)

* Support for resume creation based on background, strengths, and self-analysis information
* Organizing the structure of answers (logical development and communication style)
* Extracting points for improvement from past interview histories

■ Mock interview/Training

* Conducting mock interviews based on anticipated questions
* Generating appropriate answers in real-time
* Supporting the organization of discussion points

■ After the interview (Review)

* Generating an interview summary
* Providing feedback on areas for improvement and strengths
* Generating tests to reinforce understanding

This transforms interviews from a 'one-time evaluation event' into a 'learning process that can be repeatedly improved.'

DeepNote Interview Mode feature overview

Features | AI that supports 'thinking' not 'answers'

This feature is not intended to automatically generate answers for actual interviews, but rather is designed for training purposes to enhance users' critical thinking and expression skills through mock interviews and reviews.

DeepNote does not simply present example answers, but rather focuses on 'the way of thinking,' such as:

* Answer structure
* How to build logic
* Points for improvement

Development Background | From 'recording' to 'understanding and growth'

DeepNote has traditionally been offered as an AI agent that supports 'understanding and memory' by generating summaries and tests from recordings of meetings and lectures.

Its strength lies in its design to support all phases—before, during, and after recording—continuously evolving as a 'foundation that supports thinking and learning,' not just a recording tool.

This 'Interview Mode' extends this philosophy to the job hunting and career change domains, aiming to support 'understanding and growth' even in the crucial decision-making process of interviews.

Future Developments | OEM Expansion and Agency Model Expansion

In addition to offering DeepNote as a personal learning support AI, the company is actively promoting the expansion of its BtoBtoC model, primarily through OEM supply.

Currently, it is pursuing partnerships with multiple major digital content providers and accelerating distribution expansion through sales agency networks, including mobile phone shops and electronics retailers. It is also working to create new revenue opportunities through collaborations with telecommunications carriers.

OEM x Agency Model

Key Benefits of Collaboration

■ Realizing an agency model with overwhelming cost superiority

Generally, AI services tend to be high-priced due to the impact of external API costs, making it difficult to design sufficient margins for agency sales. DeepNote, developed with proprietary technology that minimizes API dependence, achieves approximately a 75% cost reduction compared to competitors. This enables low-cost provision for OEM, allowing agencies to build a sustainable revenue model. *Please inquire for pricing.

■ Immediate AI Solution Deployment

By utilizing DeepNote's OEM scheme, it is possible to quickly introduce it into existing distribution networks as an AI service under one's own brand. This allows for speedy deployment of high-market-demand AI services while suppressing the time and cost associated with new development.

■ Value Provision to Telecommunications Carriers and Agencies

DeepNote is positioned as a highly practical AI content that has high affinity with telecommunications carriers' business expansion strategies.

* Creation of cross-selling opportunities at stores
* Stabilization of stock revenue through subscriptions
* Strengthening customer touchpoints

From these perspectives, it contributes to improving value at sales sites.