Does this skill replace bottom-up task estimation?

No, it serves as a critical reality check. While bottom-up estimates provide a plan, the Outside View provides a statistical anchor to prevent the common trap of the Planning Fallacy.

What is the 'Inside View' bias?

It is the tendency to focus exclusively on specific project details, plans, and team capabilities, which systematically leads to overly optimistic estimates by ignoring the historical failure or delay rates of similar projects.

When is the best time to use Reference Class Forecasting?

Use it during project kickoff or planning phases for high-stakes estimations, such as major architectural shifts, new product launches, or budget approvals where accuracy is critical.

How does this skill help with software development estimation?

It provides a structured process to identify a 'reference class' of similar past coding tasks or migrations, using their actual completion data as a baseline before adjusting for your specific codebase.

Outside View vs. Inside View

Name: Outside View vs. Inside View
Author: lev-os

bylev-os

0•

生産性とワークフロー

Improves project forecasting by anchoring estimates on historical reference classes rather than optimistic project details.

This skill implements the Nobel Prize-winning framework developed by Daniel Kahneman and Amos Tversky to combat the 'Planning Fallacy.' By prioritizing the 'Outside View'—the statistical performance of similar past projects—over the seductive but often biased 'Inside View' of specific plans, it helps teams generate realistic timelines, budgets, and success probabilities. It is an essential tool for software rewrites, product launches, and resource allocation where over-optimism frequently leads to missed deadlines and budget overruns.

主な機能

01Systematic identification of 'Inside View' cognitive biases

02Base rate data integration to anchor initial forecasts

030 GitHub stars

04Reference class identification for objective benchmarking

05Minimal adjustment protocols for genuine project differentiators

06Statistical confidence interval modeling using percentiles

ユースケース

01Forecasting startup growth and success probabilities based on market benchmarks

02Setting realistic hiring timelines and resource allocation expectations

03Estimating complex software migration and monolith-to-microservice rewrite timelines

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lev-os/agents outside-view-inside-view

For use in Claude.ai and ChatGPT

Download Skill