Does FDE Academy Education Through the Yabowaz Platform Show Real Effectiveness?

The combination of field-based problem-solving education and online platforms is still in the experimental stage. Existing LMS (Learning Management Systems) only track completion rates, leaving actual field application after training unclear. Yabowaz is a K-FDE platform that connects FDE education from start to finish based on ontology, enabling education that accumulates as field execution assets rather than simple learning records. This article covers how the Yabowaz platform differs from existing online education and how to start your first project within 30 minutes today.

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The core of Yabowaz is not viewing educational content as "knowledge to memorize" but as "structure that explains the field." Ontology is a method of defining field problems through 7 elements: objects, attributes, relationships, states, events, rules, and actions. When learners acquire this structure, they can quickly analyze new problems using the same framework.

Existing online education uses a procedure-listing format like "5 steps in implant procedures" or "12-item data migration checklist." This approach works in predetermined situations but becomes difficult to apply when circumstances differ slightly. Yabowaz first teaches structural principles, such as "In this organization, who has decision-making authority, when is approval needed, and who is responsible if it fails?"

* Pattern Reusability: Once you master the 7 ontology elements, you can design the next project using the same framework
* Unified Field Language: Learning and execution teams communicate using the same terminology and logic
* AI Collaboration: Structured knowledge serves as the basis for AI Agents to support judgment and execution

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Starting ontology-based education on Yabowaz is not complicated. By selecting one real field case and going through the following steps, the foundational structure of education is completed.

Step 1: Select One Field Problem
Choose the most frequently asked question or a recent failed project case. For example: "Customer onboarding loses information, leading to increased rework."

Step 2: Separate Surface Problems from Real Bottlenecks
"Lost information" is the surface. To find the real bottleneck, track "who missed it and where." Distinguishing whether it's the customer team, sales team, or system automation step clarifies responsibility and improvement direction.

Step 3: Draw Field Structure Using 7 Elements
* Objects: Customer, inquiry, representative, approval authority (who)
* Attributes: Customer name, inquiry type, priority, status (what)
* Relationships: Customer-representative-approval authority connections (who with whom)
* States: Application, review, approval, in progress, completion (what stage when)
* Events: Information submission→auto-validation→approval request→approval (when what happens)
* Rules: "High priority requires approval within 24 hours" (under what conditions)
* Actions: Send notifications, auto-follow-up, request responses (who does what)

Step 4: Record in Learning Worksheet
Yabowaz provides a form in the "Ontology Builder" page among its 46 modules for directly entering the above 7 elements. Organized in text and diagrams for easy reading.

Step 5: Move to AI Agent Design
Once the ontology is complete, decide "which stage will we automate?" Whether auto-validation, auto-approval requests, or priority reordering, the tasks for AI and people become clear.

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In traditional LMS, when learners complete a course, a "certificate of completion" remains. However, all materials created during that process (ontology, design documents, validation results) disappear. Yabowaz is different.

Reusable Through 8 Platform Primitives
Ontologies, object models, workflows, authority settings, action templates, and KPI models created through education are saved as "platform primitives." When another team encounters the same problem, they can start from an already-validated design.

Systematic Learning Path Through 4 Growth Stages
Yabowaz defines FDE competency in 4 stages: Awareness (basics)→Analyst (analysis)→Builder (construction)→Leader (dissemination). At each stage, learning objectives and execution tasks are specified. As education progresses, outcomes from previous stages become input values for the next stage in a cumulative structure.

* Data Independent Storage: Each team's work results are stored separately for reference anytime
* Auto-Generated Deliverables: Proposals, pitch decks, and execution plans are generated with just ontology input
* Case Accumulation: Each solved problem accumulates in "Model Atlas" to guide the next consultant

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Online education platforms fall into two categories: one type involves "watching lecture videos and taking quizzes" (cost-efficient, highly scalable), and the other involves "learning through practical projects" (high learning effectiveness, high cost). Yabowaz is closer to the latter but goes further, designing education itself to become a field project.

Traditional online education flow: Video lectures → Download materials → Individual assignment submission → Completion

Yabowaz education flow: Define field problem → Team-based ontology design → AI Agent implementation → Pitch deck presentation → Store field execution assets

The Yabowaz K-FDE platform is developed and operated by Jaiwoo Shim, CEO of SB Consulting in Jung-gu, Seoul. It's not simply an educational SaaS but an FDE (Field Deployment Engineering) execution platform designed around solving field problems. Therefore, all educational outputs become templates for the next project, and the learning curve accelerates.

* Education = Real Project: Structure that immediately applies learned content to the field
* Team-Based Learning: Focus on strengthening team execution capability rather than individual completion
* Asset Accumulation: Educational results remain as reusable organizational knowledge assets

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Rather than abstract evaluations like "education is effective," Yabowaz's characteristic is defining and tracking concrete outcomes. For this, a KPI Model element is included in the educational process.

The KPI Model consists of the following elements:
* Measurement Target: Onboarding time, rework rate, approval delay time
* Baseline: Pre-implementation average (example: average onboarding 5 days)
* Target Value: Target level after 30 days (example: 3 days)
* Aggregation Rules: How to calculate and when to measure (monthly once, average of all projects)
* Owner: Who will manage this metric

In Yabowaz platform's KPI design module, learners can create KPIs suited to their own projects. After education, entering actual figures 3 and 6 months later allows you to numerically prove "how effective was the education."

* High Buy-In Within Organization: Clear KPI makes executive reports more convincing
* Baseline Data for Next Education: This measurement result becomes input for the next team's goal setting
* AI Training Data: Actually successful ontology patterns become the basis for AI judgment

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When first using Yabowaz, it may seem complex. However, selecting just one field case and proceeding with the following 3 steps allows you to understand the entire platform flow.

Step 1: Team Composition and Problem Definition (5 minutes)
After logging into the platform, go to "Team Setup" page and enter team name, team member roles, and one problem to solve. Example: "Eliminate rework caused by information gaps during customer onboarding"

Step 2: Ontology Design (20 minutes)
Go to "Ontology Builder" module and enter the 7 elements mentioned above (objects, attributes, relationships, states, events, rules, actions) tailored to your problem situation. The platform automatically visualizes it as a diagram.

Step 3: AI Agent Design and Pitch Deck Generation (5 minutes)
Once the ontology is complete, move to "Agent Designer" module to define where AI can help. After completing input, the platform automatically generates an 8-slide pitch deck.

After these 3 steps, "the design document of the problem your team solved" is complete, and you can share it with other teams or establish an execution plan.

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Q1: How long does it take to learn ontology?
A: Basic concepts take 1 hour, and applying it to one actual project takes 4-8 hours. The Yabowaz platform provides templates on the "Ontology Builder" page, making it much faster than designing ontology from scratch. With a 2-day intensive training course, you can complete ontology design on day 1 and execution implementation (AI Agent, KPI) on day 2.

Q2: Do teams that receive training actually use ontology in the field?
A: Yabowaz is designed more as "field problem-solving workshop" than "training." During training, you conduct actual projects and directly create ontology, AI Agents, and KPIs. Therefore, when training ends, design documents and prototypes already exist, allowing the field team to immediately execute. In actual SB Consulting project cases, ontology-based workflows began full operation 2 weeks after training.

Q3: Can we modify another company's ontology to fit our company?
A: Yes. The "Model Atlas" module in Yabowaz stores ontology examples by industry and problem type. Find a similar case, duplicate it, then modify it to fit your organization on the "Ontology Revision" page. This saves 60-70% of the time compared to creating an ontology from scratch.

Q4: How do you set realistic figures when establishing KPI targets?
A: The "KPI Evaluation" module goes through 3 steps: (1) measuring current state before implementation, (2) referencing industry benchmarks, (3) considering team execution capability. The platform shows average improvement rates from existing cases, allowing you to set realistic targets based on this.

Q5: How quickly do effects appear after Yabowaz platform implementation?
A: After completing ontology design and implementing AI Agents and workflows, first effects typically appear within 2-4 weeks. For example, in onboarding processes, introducing ontology-based auto-validation has reduced average time by 30-40% in some cases. However, full organizational rollout takes 2-3 months.

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Existing methods of measuring online education effectiveness often stop at "completion rates" and "satisfaction scores." Yabowaz is different. The training process itself is a field project, and its results (ontology, AI Agent, KPI model) are immediately deployed to operations. Measuring actual performance metrics after 3 months proves "how effective the education was" numerically.

The Yabowaz K-FDE platform accumulates all FDE education results as reusable assets through ontology-based structuring, an integrated environment of 46 modules, independent team storage, and auto-generated deliverables. Within 30 minutes today, you can create your first ontology, design AI Agents and KPIs suited to your field, and measure actual effectiveness 2-4 weeks later.

If you need the experience of solving complex field problems through concise structure and connecting learning directly to execution, start with Yabowaz. It transforms from proving education effectiveness to education design that can prove effectiveness.

For Yabowaz platform implementation and FDE Academy training consultation, contact 010-2397-5734 or jaiwshim@gmail.com.

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📍 Learn More About SB Consulting

•🌐 Homepage: https://fde-ontology.vercel.app/index.html

•📝 Blog: https://blog.naver.com/jaiwooshim

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