okr-feasibility-forecast

Predict annual OKR feasibility from quarterly team commitments and identify coverage gaps.

3|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/sngmd/Okr-Skills --skill okr-feasibility-forecast
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: okr-feasibility-forecast
Source: https://github.com/sngmd/Okr-Skills/tree/main/okr-feasibility-forecast
Command: npx skills add https://github.com/sngmd/Okr-Skills --skill okr-feasibility-forecast

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Evaluates whether annual company OKRs are achievable by analyzing confirmed quarterly team OKRs, surfacing coverage gaps, trajectory risks, and over-reliance risks to prompt proactive interventions.

Core Features & Use Cases

  • Numeric Coverage Forecast: aggregates confirmed quarterly commitments and estimates the full-year trajectory to compare against annual targets.
  • Trajectory Risk Analysis: detects front-loaded or back-loaded schedules, single-team dependencies, and quarterly gaps.
  • Qualitative Feasibility & Gap Closure: provides risk ratings for non-quantifiable goals and practical options to close gaps.

Quick Start

Feed in the current annual OKRs and confirmed quarterly KR commitments to generate a feasibility forecast.

Frequently Asked Questions about okr-feasibility-forecast

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I forecast annual OKR feasibility from quarterly team commitments?

OKR feasibility forecasting analyzes confirmed quarterly team commitments to predict annual company OKR achievability. It aggregates quarterly data, estimates full-year trajectory, and outputs numeric forecasts comparing projected results against annual targets.

What is OKR trajectory risk analysis and how does it detect scheduling gaps?

OKR trajectory risk analysis identifies front-loaded or back-loaded commitment schedules, single-team dependencies, and quarterly gaps. It evaluates these patterns against annual targets to surface trajectory risks threatening full-year OKR achievement.

Can I predict annual OKR feasibility if I only have partial quarterly actual results?

You can predict annual OKR feasibility with partial data by inputting available actual results alongside confirmed quarterly commitments. The forecast handles partial data to estimate full-year trajectory and compare against baseline versus stretch targets.

How do I identify coverage gaps and over-reliance risks in quarterly OKR commitments?

Feed annual company OKRs and quarterly team commitments into the forecast to identify coverage gaps and over-reliance risks. It aggregates commitments to detect single-team dependencies and outputs actionable gap-closure guidance for at-risk objectives.

Does OKR feasibility forecasting work for non-quantifiable qualitative goals?

OKR feasibility forecasting handles non-quantifiable goals by providing qualitative feasibility ratings and risk assessments. It evaluates qualitative objectives alongside numeric targets to generate practical gap-closure options for proactive interventions.