The Gap in AI Outcomes Arises from the Ability to Articulate 'Purpose' and 'Context'

You can delegate tasks to AI.

However, few organizations are truly able to convey their 'purpose' and 'context' effectively to AI.

In organizations that have accumulated experience executing tasks based on numerical targets and precedents, there is often insufficient experience in independently defining purposes, verifying the underlying facts, and articulating assumptions and causal relationships.

Request Co., Ltd. (Headquarters: Shinjuku-ku, Tokyo; Representative Director: Tomiyasu Kowata), which provides Organizational Behavior Science®, has released a 'Necessary Experience Design' framework and a 10-question, 3-minute diagnostic tool to help articulate purpose and context for effective use with AI, based on data analysis from 338,000 individuals and 980 organizations.

A downloadable PDF of the illustrated materials for this release is available.

We have compiled into an illustrated guide—easy to share internally—the concepts for articulating 'purpose and context' for AI, along with a 10-question, 3-minute self-diagnostic assessment.

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1. You can delegate tasks to AI—but can you convey purpose and context?

You can ask AI to 'polish this text,' 'make this document clearer,' 'summarize this content,' 'compare this information,' or 'visualize this explanation.'

But what AI truly needs is more than just task instructions.

Who are you trying to impact, and what state are you trying to change? Why is this purpose necessary? What facts underlie this context? Which assumptions are misaligned? What causal relationships exist?

The ability to convey these elements determines the effectiveness of AI outcomes.

2. Why do organizations often lack experience in defining purpose?

In most organizations, goals are given in numerical terms: revenue, volume, deadlines, KPIs, achievement rates.

Precedents are provided through past documents, tools, procedures, templates, or supervisor instructions.

Meanwhile, judgment criteria remain implicit: what is considered acceptable, how much autonomy individuals have, when supervisor approval is needed, what phrasing is acceptable, and what omissions could cause problems. These are rarely documented and are instead learned naturally through on-the-job experience.

As a result, employees accumulate experience executing tasks according to given goals and precedents. But they often lack experience in independently defining purposes and articulating the underlying facts, assumptions, and causal relationships.

3. Purpose is not arbitrary—it emerges from facts, assumptions, and causal relationships

Purpose is not simply 'what you want to do.' It is about changing a specific state for a specific person or group.

Every purpose has a context: Why is changing this state necessary? What facts support this view? Which assumptions are misaligned? What causal relationships exist?

Purpose is not a random idea. It is built upon a foundation of facts, assumptions, and causal logic.

4. Context emerges through dialogue grounded in relationships

The facts underlying context are not always visible in documents or numbers. Without a relationship with the other party, you cannot see their real struggles, uncertainties, anxieties, responsibilities, or misaligned assumptions.

Through dialogue, you must clarify: What are they struggling with? Where are they stuck? What are they unable to articulate? Which assumptions do they take for granted? What is blocking their decision-making?

5. Judgment experience is built through the process of defining purpose and context

Defining purpose and context is not a purely mental exercise.

It involves: talking with others, verifying facts, identifying misaligned assumptions, hypothesizing causal relationships, deciding which facts to prioritize, determining whom to consult, deciding how much to judge independently, testing ideas with others, and updating judgment criteria based on outcomes.

This entire process constitutes judgment experience.

Therefore, those who can effectively convey purpose and context to AI are not merely skilled at giving AI instructions. They are individuals who verify facts through relationships, define purposes, make small judgments, and can articulate these experiences in language.

6. What is 'Necessary Experience Design'?

Necessary Experience Design is an approach to intentionally increase, within daily work, the experiences needed to articulate 'purpose' and 'context' for AI—experiences such as dialogue based on relationships, verification of facts, assumptions, and causal relationships, making small judgments, updating judgment criteria based on outcomes, and articulating these for AI.

AI training is necessary. Introducing AI tools is necessary. Learning how to write prompts is necessary.

But these alone are not enough.

Without experience in creating the purpose and context to give to AI, the outputs from AI may be polished, but they will struggle to influence decisions within the organization. This is why Necessary Experience Design is essential.

7. The five essential experiences needed to convey purpose and context to AI

1 Experience in building relationships

Without a relationship, you cannot see the other party's true struggles, uncertainties, anxieties, responsibilities, or misaligned assumptions.

2 Experience in verifying facts, assumptions, and causal relationships through dialogue

Purpose is not arbitrary. You must verify the underlying facts, misaligned assumptions, and causal relationships.

3 Experience in defining purpose

Purpose is not 'what to do.' It is 'who, which state, and how to change it.'

4 Experience in making small judgments and updating based on outcomes

What to verify first? Who to involve? How much to decide independently? What to delegate to AI? What to update based on results? These small judgments strengthen future purpose-setting.

5 Experience in articulating for AI

To communicate with AI, you must articulate tacit knowledge.

Audience. Context. Facts. Assumptions. Causal relationships. Purpose. Constraints. Desired change.

Only when all these are articulated can AI truly deliver strong results.

8. A 10-question, ~3-minute assessment to gauge your organization's current state

The 'Necessary Experience Design Quick Diagnostic' released here does not evaluate individual employees' AI skills. It does not classify people as 'able' or 'unable' to use AI.

Instead, it checks whether your organization's work environment includes the experiences needed to articulate purpose and context for AI.

A low score is not a negative. It simply shows which necessary experiences need to be designed.

Divergent responses across team members are also not negative. They reveal differences in perspectives, responsibilities, and implicit judgment criteria across management levels and roles.

9. Necessary Experience Design Quick Diagnostic: 10 Questions

A. Relationships and Dialogue

1 There are opportunities to discuss the other party's struggles, uncertainties, anxieties, and responsibilities

2 Unspoken reactions or discomfort from the other party are used as input for subsequent judgments

B. Verification of Facts, Assumptions, and Causal Relationships

3 Background facts are verified before defining a purpose

4 Misaligned assumptions and causal relationships are confirmed with stakeholders

C. Purpose Creation

5 The intended change—'who, which state, and how'—is articulated

6 The rationale for the purpose is explained based on facts

D. Small Judgments and Updates

7 It is clear what decisions the responsible person can make independently, when to consult, and what priorities apply

8 Judgment criteria and next steps are updated based on post-action results

E. Articulation for AI

9 Before requesting AI, the purpose, audience, context, and constraints are articulated

10 AI outputs are evaluated and revised based on alignment with purpose and context

10. Interpreting Results: Focus on Divergent Responses, Not Just Scores

16–20 points: Experiences for articulating purpose and context for AI are relatively well integrated

10–15 points: Some integration exists, but disparities across individuals, managers, and departments are likely

0–9 points: Experience in articulating purpose and context is left to chance, making AI effectiveness highly dependent on individuals

However, total score is not the only important factor. Which areas scored low? On which questions did responses diverge? Are facts and judgment criteria perceived differently across roles? These insights are crucial.

11. About the Detailed 'Necessary Experience Design Diagnostic'

The quick diagnostic reveals broad organizational trends.

The detailed version provides deeper insights into:

Trends by department, position, and years of experience

Departments that do and do not articulate purpose and context

Questions with large response gaps

Areas where judgment criteria remain implicit

Situations where purpose-setting is overly centralized with senior staff

Cases where AI is used for tasks but not given clear purpose

Priority areas for Necessary Experience Design

Concrete strategies for managers to help subordinates gain judgment experience

Practical designs to help frontline employees articulate purpose and context for AI

Organizations interested in the detailed diagnostic are encouraged to contact us with their quick diagnostic results. Contact: request@requestgroup.jp

12. Executive Comment

AI has dramatically changed the speed and quality of output. At the same time, the human experience in deciding what to delegate to AI has become even more critical. We can delegate tasks to AI, but to convey purpose to AI, we must first grasp the underlying facts, assumptions, and causal relationships through dialogue with others and articulate them clearly. In many organizations, experience has been built around executing tasks based on numerical targets and precedents, rather than defining purpose. Therefore, in the AI era, it is essential to intentionally increase, within daily work, the experiences that enable people to articulate purpose and context.

About Request Co., Ltd.

Request Co., Ltd. operates under the mission 'Better Purpose,' and is a company with eight research institutes, grounded in Organizational Behavior Science® based on work experience data from 338,000 individuals and 980 organizations (as of June 2026).

The company conducts research and educational development to understand and reproduce 'why thinking and behavior occur and persist' among workers, based on business environments, history, and experience.

Company Name: Request Co., Ltd.

Representative Director: Tomiyasu Kowata

Address: 3-4-8 Shinjuku, Shinjuku-ku, Tokyo, 4F, Keio Fronte Shinjuku 3-chome

Inquiries related to this announcement: Judgment Design Laboratory, Request Co., Ltd. E-mail: request@requestgroup.jp