mitsumonoAI

SPIN Agent

SPIN Agent is a feature that automatically generates sales questions based on the SPIN (Situation, Problem, Implication, Need-Payoff) framework, utilizing product information and target criteria. It is a sales enablement tool designed to quickly organize questions tailored to specific deal stages and customer segments, drastically enhancing the quality of discovery calls and the precision of proposals.

mitsumonoAI2026-01-27

Simply enter information into the following fields and click the "Create" button. Based on your input, the AI will propose a structured set of SPIN questions designed to resonate with your target audience.

You do not need to fill in every field; you can generate output with just basic information like "Product Name" and "Core Features." However, providing more details will result in a highly accurate discovery sheet tailored to actual sales scenarios and specific customer pain points.

In addition to the SPIN question sets, the tool also suggests closing pitches to wrap up the meeting and concrete action plans to drive the deal forward.

Field

Description

Example Input

Output Language

Specify the language in which the AI generates responses. The default is Japanese, but multi-language proposals are available.

Japanese, English, etc.

Maximum Number of Questions

Specify the number of main questions the AI should generate for each of the four SPIN phases (Situation, Problem, Implication, Need-Payoff). Each question includes the reasoning behind it and "Follow-up Questions" for deeper probing.

Select from list (e.g., 5, 10)

URL

Enter the official website or product documentation URL for the item being proposed. The AI will crawl the content to improve accuracy.

https://mitsumonoai.com, etc.

Product Name

Enter the name of the product or service you are proposing. (Max 100 characters)

mitsumonoAI, etc.

Product Category

Enter the category or genre the product belongs to. (Max 100 characters)

Sales Enablement Tool, SaaS, Consulting Services, etc.

Key Features

Describe the product’s core functionality or specific benefits provided. (Max 500 characters)

Automatically generates sales questions using the SPIN framework based on product and customer data. Organizes questions by deal stage to improve discovery quality.

Differentiation Factors

Describe your strengths against competitors, unique know-how, or why customers choose you. (Max 500 characters)

Standardizes sales expertise through the SPIN structure. Eliminates dependency on individual skill, enabling anyone to conduct high-level discovery. Balances reduced training costs with higher closing rates.

Pricing Model

Enter the pricing structure. This serves as a reference for articulating cost-benefits during Need-Payoff questions. (Max 150 characters)

From 50,000 JPY/month (plus initial setup fee), Usage-based billing, etc.

Target Segment

Specify the size of the target company or the specific department. (Max 150 characters)

B2B Sales, Inside Sales, Mid-sized companies with over 1 billion JPY in annual revenue, etc.

Target Industry

Enter the industry where these questions will be used. (Max 150 characters)

IT/Advertising, Manufacturing, Recruiting Services, etc.

Target Persona

Describe the specific persona of the person you are meeting (job title or typical pain points). (Max 150 characters)

Sales Manager overseeing a department. Struggling with a lack of discovery skills among subordinates and a lack of visibility into sales meetings ("black box" issues).

Primary Use Case

Specify the sales scenario where you intend to use this question set. (Max 150 characters)

Establishing the baseline during initial discovery calls, upsell proposals to existing clients, deep-dive discovery for competitive replacements, etc.

  1. Review the Generated Questions

    Review the initial SPIN question set (Situation, Problem, Implication, Need-Payoff) generated by the AI.

  2. Share Realistic Sales Scenarios

    Compare the proposed questions with the actual meeting duration or the prospect's likely reaction, and tell the AI what to adjust via chat. (e.g., "The meeting is short, so narrow it down to 3 questions," or "Make the questions emphasize risk to resonate better with executives.")

  3. Adjust Based on Prospect Attributes

    By adding detailed information—such as the prospect's personality or the tools they currently use—the AI will automatically adjust the nuance of the questions. It will modify the phrasing and order to be more practical and easier to use in the field.

  4. Finalize the Practical Talk Script

    Through iterative dialogue, the output evolves from a simple list into "impactful questions" that tap into the customer's underlying psychology. The final result is a practical discovery sheet or talk script ready for immediate use in actual sales meetings.