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Misty Klein
Portfolio / Case Studies / Proposal Knowledge System

Case study 3 of 3

Prototyped

Proposal Knowledge and Learning System

An anonymized case study based on work performed in a specialized proposal environment. High-value RFQ/RFP knowledge was distributed across experienced people, project histories, examples, file systems, email, CRM records and unwritten judgment. The risk was not merely slow onboarding — it was inconsistent quality, repeated searching, and expertise leaving with individuals.

Public portfolio treatment. This is a methodology and design case study. It intentionally excludes the employer name, client names, proposal text, pricing, fee logic, correspondence, legal material and proprietary documents.

Knowledge architecture

From scattered expertise to a learning system

  1. 1CaptureIdentify approved source material, expertise, examples and recurring questions.
  2. 2NormalizeConvert files and tacit know-how into consistent terminology, fields, sections and rules.
  3. 3TeachSequence fourteen major training sections with visual, video, audio and applied learning.
  4. 4PracticeUse scenarios, calculations, quizzes, flashcards and reference tools.
  5. 5Support workConnect structured inputs, retrieval and proposal guidance to review checkpoints.
  6. 6ImproveTrack gaps, questions, handoff failures and updates to the governed knowledge base.

Documented system components

Training platform
Fourteen-section educational and training platform with learner dashboard, goals and progress tracking.
Reference layer
Glossary, references, calculation tools and decision frameworks.
Practice layer
Study guides, assessments, flashcards and quick-reference tools.
Assistive layer
A runtime tutor grounded only in approved knowledge, and a beta proposal-writing assistant with leadership review.
Manual engine
Concept producing interactive HTML, print PDF, knowledge JSON and validation reports.

Status of each element

Verified artifact — learning assets
Training materials, study guides, assessments, flashcards, reference tools and process documentation recorded in the evidence history.
Verified artifact — workflow maps
Proposal intake, CRM, files, meetings, review and handoff problems mapped and organized.
Prototyped — learning app
A dated build reference reports a live prototype with dashboard, tools, glossary/references and substantial sections built.
Prototyped — proposal assistant
A beta proposal-writing agent is documented; public claims remain date- and source-qualified.
Designed — knowledge automation
Communication classification, file organization, opportunity detection and owned runtime tutor concepts were specified.
Planned — reusable engine
A configurable proposal/training engine, later superseded by the broader Create The Edge architecture.

Personal contribution

Rapidly learned a technical proposal environment, identified the repeated knowledge and workflow problems, created educational and reference structures, documented system behavior, produced media, and proposed an AI-assisted operating model — learning agility, systems thinking, instructional design, and making specialized knowledge usable.

No invented outcomes

This case study does not claim reduced proposal time, improved win rate, enterprise deployment, formal adoption, or ownership of employer content, because those results are not verified for public use. Demonstration is limited to the anonymized architecture and newly created fictional learning samples.