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Project Discovery & Planning.

Automated stakeholder discovery, strategic curriculum mapping, and the architectural documentation that bridges business needs with learning solutions.

The Methodology

Intelligence in Two Acts.

Structured intake feeds an AI that generates precision discovery questions, and those answers synthesize into a production-ready learning experience design documentation — without a single manual reformatting step.

Phase I · Intake

Structured Intake

30+ fields map the full org context: industry, headcount, data policy, learning gap, audience profile, delivery mode, timeline, and budget — captured as structured JSONB for precise AI processing.

30+
structured fields
AI Analysis

Adaptive Question Generation

The intelligence engine reads the intake signal and generates a bespoke discovery questionnaire — 10 thematic sections, 60+ precision questions — uniquely calibrated to the org, industry, and learning gap.

60+
AI-authored questions
Phase II · Discovery

Deep Discovery

The L&D practitioner answers structured questions across cognitive levels, modality split, platform stack, KPIs, and budget allocation — using 13 purpose-built input types for maximum signal quality.

13
input types
AI Synthesis

Learning Experience Design Documentation

All discovery signals converge. The AI synthesizes a 10-section learning experience design documentation — objectives, modules, assessments, rollout, and budget — in under 45 seconds, export-ready in JSON and Markdown.

< 45s
to full LX documentation
Core Architecture

Two phases,
one coherent signal.

Most L&D tools treat intake and design as separate workflows. Polaris binds them: Phase I captures organizational context; Phase II extracts instructional intelligence — and the AI layer translates both into a structured LX documentation without manual reformatting.

  • Phase I → AIStatic intake feeds the intelligence engine, which generates 60+ bespoke discovery questions
  • Phase II → LX DocumentationDynamic answers synthesized into a 10-section LX documentation structure
  • Dual-format exportStructured JSON for systems integration, Markdown for stakeholder review
  • < 45s synthesisFrom final answer to production-ready, validated LX documentation
Phase I · Static Intake
Structured Context Capture
Acme Services · Financial Services · 26–50 learners · $70,000 · 8 weeks
AI Analysis · Intelligence Engine
Adaptive Question Generation
10 sections · 60 precision questions · uniquely calibrated to context
Phase II · Dynamic Questionnaire
Deep Discovery
Cognitivism + Experiential · 80% async / 20% live · LMS + Zoom · Bloom's L4–L5
Synthesis · LX Documentation
"Data-Driven Leadership"
8 weeks · 4 modules · Phillips ROI · JSON + Markdown · < 45s
45s

Average Documentation Time

From raw stakeholder brief to a validated 20-section LX documentation, ready for production.

500+

Automated Jobs / Day

Scaled discovery agents running concurrently across multiple enterprise domains and contexts.

95%

Stakeholder Alignment

High-fidelity discovery accuracy verified through expert human-in-the-loop validation cycles.

Live System Demo

See the system in motion.

Explore the two-phase questionnaire and the LX documentation it produces — same stack, same logic, same dashboard experience as the Polaris production platform.

Let's build your capability engine.

Currently advising on AI-in-learning strategy and scaling modern L&D functions.