Analysis | nodlin.com

Energy Market Analysis

Sun, 07 Sep 2025 00:00:00 +0000

The Energy Market Analysis agent models the impact of geopolitical events on energy supply chains, infrastructure, markets and macro-economic indicators. Define a geopolitical event and AI performs a full energy shock analysis.

The agent defines ten node types:

Geopolitical Event 🌍 — An event that may disrupt energy supply chains
Energy Source ⛽ — Production of oil, gas, LNG, coal, or renewables
Transport Route 🚢 — Pipelines, shipping lanes, and LNG routes
Infrastructure Asset 🏭 — Refineries, LNG terminals, and storage facilities
Storage 📦 — Reserves (e.g. EU gas storage)
Demand Sector 🏗️ — Consumption buckets (industry, residential, transport, power)
Energy Substitute 🔄 — Fuel switching behaviour (e.g. gas → coal)
Policy Actor 🏛️ — Central banks or policy institutions
Commodity Market 📈 — Gas, oil, or electricity markets with tightness pricing
Macro Indicator 📊 — CPI, PPI, GDP and other economic indicators

How It Works

Define a geopolitical event (e.g. closure of the Strait of Hormuz)
Request AI to perform a full energy shock analysis
Review impact across supply, demand, infrastructure, and markets
Confirm and adjust factors — the graph propagates changes
Use the excalidraw perspective to annotate and present findings

Benefits

Comprehensive Modelling 🌐 — Traces impact from geopolitical event through supply chains to macro indicators
AI-Enhanced Analysis 🤖 — AI generates the initial impact model for expert review
Real-time Propagation ⚡ — Adjustments flow through the connected graph
Decision Support 🎯 — Macro-level decision framework for energy market disruptions

First Principles Reasoning

Sun, 07 Sep 2025 00:00:00 +0000

First Principles Reasoning is a structured framework for decomposing problems to their irreducible, fundamental truths and rebuilding innovative solutions from scratch — rather than reasoning by analogy or accepting conventional wisdom.

The agent defines three node types:

Analysis 📋 — The main container that summarises the reasoning and creates the structured steps: Problem, Truth, Assumptions, Challenges and Solutions
Step 📁 — A container for each category of first principles items
Item 📝 — A general node supporting definitions for all FP item types (Problem, Truth, Assumption, Challenge, Solution)

How It Works

Create an Analysis and describe the problem to decompose
Define fundamental truths — what do we know for certain?
Challenge assumptions — what are we taking for granted?
Identify real constraints vs perceived ones
Rebuild solutions from verified truths
AI assistance is available to help identify truths and challenge assumptions

Benefits

Innovation 💡 — Break free from analogy-based thinking and conventional wisdom
Clarity 🔎 — Separate verified truths from untested assumptions
Better Solutions 🎯 — Build on solid foundations rather than inherited constraints
Structured Collaboration 🤝 — Teams work through each step systematically

MECE Analysis

Sun, 07 Sep 2025 00:00:00 +0000

MECE (Mutually Exclusive, Collectively Exhaustive) is a structured framework developed by Barbara Minto at McKinsey & Company for decomposing complex problems into clear, non-overlapping categories that together cover the entire problem space.

The agent defines three node types:

Analysis 📋 — Top-level container that creates bucket nodes on demand. Aim for 3–5 buckets per level (the “Rule of Three” — 2–5 is acceptable)
Bucket 📁 — A single category in a MECE decomposition
Item 📝 — A single finding, data point, or element within a bucket

How It Works

Create an Analysis and describe the problem to decompose
Add Buckets — each must be mutually exclusive (no overlap) and collectively exhaustive (full coverage)
Populate Items within each Bucket for individual findings or data points
Refine the structure — split or merge buckets as understanding deepens
AI assistance can suggest initial decomposition categories

Benefits

Structured Thinking 🧩 — Prevents gaps and overlaps in analysis
Scalable Decomposition 📐 — Nest buckets for multi-level breakdowns
Consulting-Grade Rigour 🏢 — Industry-standard approach used at leading firms
Collaborative 🤝 — Teams can work on different buckets simultaneously

RICE Prioritisation

Sun, 07 Sep 2025 00:00:00 +0000

RICE is a structured framework for prioritising initiatives by scoring them on four dimensions: Reach, Impact, Confidence and Effort. It provides an objective, data-driven approach to deciding what to work on next.

The agent defines three node types:

Analysis 📋 — The RICE Analysis container for scoring and comparing initiatives
Item 📊 — A single scored initiative with four dimensions: Reach, Impact, Confidence, Effort
Chart 📈 — Radar chart visualisation comparing RICE scores across initiatives

How It Works

Create an Analysis and describe the decision context
Add Items for each initiative or feature under consideration
Score each item on Reach, Impact, Confidence and Effort
The RICE score is calculated automatically: (Reach × Impact × Confidence) / Effort
View radar charts to compare initiatives visually
AI can suggest initial scoring based on context

Benefits

Objective Decisions 🎯 — Replaces gut feel with a repeatable scoring model
Visual Comparison 📊 — Bar chart and radar chart SVGs generated for each initiative
Collaborative Scoring 🤝 — Teams align on priorities using a shared framework
Actionable Ranking 📋 — Clear priority order drives focus and resource allocation

SWOT Analysis

Sun, 07 Sep 2025 00:00:00 +0000

SWOT Analysis is probably the most widely used strategic planning framework — evaluating Strengths, Weaknesses, Opportunities and Threats related to a business, project, product, or initiative.

The agent defines three node types:

Analysis 📋 — The SWOT Analysis container for a specific subject
Category 📁 — One quadrant: Strengths, Weaknesses, Opportunities, or Threats
Item 📝 — A single SWOT entry within a category, with impact rating

How It Works

Create an Analysis and describe the subject to evaluate
Categories (S, W, O, T) are created to organise items
Add Items under each category with descriptions and impact ratings
AI assistance can generate initial SWOT items for review
Use the board view (Kanban-style) to drag and drop items between categories — changes are reactive and update in real-time across all users

Key Features

Board View 📌 — SWOT items display as cards in a Kanban board grouped by category, with drag-and-drop to reclassify
Real-time Collaboration 🤝 — Multiple users contribute and see changes instantly
AI-Enhanced 🤖 — Generate initial analysis, then refine collaboratively
Form-Driven Options 🔧 — Any option field on the form (category, impact) is available as a board column selector
Shared Perspectives 📐 — Named layout perspectives are published in real-time to all users