Henriette Hellweg

Quinn

Quinn – the findIQ LLM Assistant

Ask AI or search our help articles to find an answer to your questions.

Feedback

Roadmap

Changelog

Tommy Giesbrecht

Getting Started

This article provides a concise overview of findIQ – what the application does and how it is structured.

What is findIQ?

Access to your digital service environment

Registration and login

With findIQ installed as an app, you get quick access from your home screen or start menu, running in its own clean window without the browser.

Install findIQ as an App

Matthias Musenbrock

Knowledge Hub

This article gives you an initial overview of the key areas of the Knowledge Hub.

Overview & Getting Started

findIQ allows you to create your own digital knowledge base - consisting of a heat map and the associated troubleshooting routines. The aim is to capture, structure and directly utilise the knowledge gained from service experience.

Heatmap and Routines

Learn how to connect templates with linkages and represent complex error patterns.

Chain

Here you’ll learn how machines are created, organized, and linked with access rights.

Machines

Here you’ll learn how metadata helps structure knowledge clearly, manage it consistently, and apply it effectively in symptoms, causes, and routines.

Manage Metadata

Learn how to use the automatic Quality check and Quality score for heatmaps to identify gaps and improvement opportunities in your knowledge base.

Quality check

Learn how to export the symptom-cause heatmap of a template as an Excel file.

Heatmap Export

Learn how to use filters and filter groups to narrow down causes, symptoms, and labels in the heatmap view.

Heatmap Filters

Learn how to use the heatmap filter and filtered test runs to represent multiple machine variants within a single heatmap.

Variants (Closed Beta)

This article explains how administrators and editors review, edit, and manage user suggestions in the Knowledge Hub and how accepted suggestions are integrated into the heatmap.

User Suggestions

This article explains how administrators and editors can use AI Suggestions to optimise existing templates based on real service cases, resulting in faster fault resolution, fewer clicks, and more accurate probabilities.

AI Suggestions

Service Guide

With the offline feature, you can access important machines and service guides even without an internet connection. Learn how to prepare, what works offline, and which current limitations to be aware of—so you stay productive in the field.

Offline Availability

This article explains how service technicians can submit user suggestions directly during troubleshooting in the Service Guide to capture new knowledge from real service cases.

How do I submit user suggestions in the Service Guide?

Insights Panel

The Insights Panel transforms operational service data into strategic insights. Comprehensive analyses and customised dashboards give you an overview of your service performance and enable you to make data-driven decisions.

Insights Panel – Overview & Getting Started

Legal & Compliance

Auf dieser Seite finden Sie Antworten auf häufig gestellte Fragen zur Software-Architektur von findIQ und zum Einsatz von Künstlicher Intelligenz (KI) in unserer Software. Wir hoffen, dass Sie die hier bereitgestellten Informationen aufschlussreich und informativ finden.

Tech-FAQ

David Siegel

Developer

Guides for setting up and using the findIQ MCP server.

A simple explanation of what the findIQ MCP server does and how AI systems use findIQ.

What Is an MCP Server?

How to connect a Microsoft Copilot Studio agent to the findIQ MCP server.

findIQ MCP Server Setup in Microsoft Copilot Studio

How to connect Claude to the findIQ MCP server.

findIQ MCP Server Setup for Claude

SSO with Microsoft Entra ID

Learn how to set up Single Sign-On (SSO) for findIQ through your Identity Provider using the OIDC protocol.

SSO with a dedicated OIDC Client

Learn how to embed or link findIQ in external applications using the standalone view.