What If? HQ

What If? HQ

What If? HQ is a knowledge management and decision support platform that helps teams make better decisions. It provides tools to collect information, analyze scenarios, and forecast outcomes.
knowledge-management decision-support scenario-analysis forecasting

What If? HQ: Knowledge Management & Decision Support Platform

A knowledge management and decision support platform to help teams make better decisions, with tools for info collection, scenario analysis, and outcome forecasting.

What is What If? HQ?

What If? HQ is a knowledge management and decision support software designed to help teams make better strategic decisions. It provides an intelligent platform to collect information, model scenarios, and forecast potential outcomes.

Key features include:

  • Decision frameworks - Templates and workflows to break down complex decisions into structured models.
  • Scenario analysis - Model different scenarios to stress test plans before committing to a path.
  • Prediction models - Leverage data to predict outcomes and understand tradeoffs between options.
  • Collaboration tools - Teams can collect inputs, share insights, and align around decisions.
  • Notifications and tracking - Understand how models evolve over time as new inputs are collected.

What If? HQ brings together dispersed knowledge from across an organization, structured analytics, and collaboration tools to reduce risk and build organizational consensus around important strategic decisions.

It's designed for executive teams who need to make major investments, enter new markets or partnerships, assess mergers and acquisitions, or determine product or business model shifts.

What If? HQ Features

Features

  1. Scenario planning
  2. Decision trees
  3. Forecasting
  4. Collaboration tools

Pricing

  • Freemium
  • Subscription-Based

Pros

Structured approach to decision making

Reduces bias in decision making

Analyzes multiple scenarios

Collaborative platform

Cons

Can be time consuming

Requires training

Limitations in modeling complex decisions

Data quality depends on user inputs

Official Links


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