Tommy Giesbrecht

Legal & Compliance

This page is designed to answer frequently asked questions about findIQ's software architecture and the use of Artificial Intelligence (AI) in our software. We hope you find the information provided here enlightening and informative

Tech-FAQ

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

Feedback

Roadmap

Changelog

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

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

findIQ Assistant

Matthias Musenbrock

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?

Field Echo

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.

How do I review and manage 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.

How do I improve heatmaps using AI Suggestions?

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

Account & Settings

SSO integration with Microsoft Entra ID

How can we help you?

Help Center

Improved

Fixed

Alpha

Beta

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In Review

Feedback required

Planned

In Progress

Completed

Rejected

In Discovery

Backlog

Troubleshooting

Logbook

Offline

Global & Intelligent Search

Routines

Metadata

Variants

Heatmap

Assistant

Chains

Documents

Translations

Templates

AI Suggestions

Simulation

User Suggestions

User Management

Groups

Navigation

Onboarding

Superadmin

Custom Theme

Symptom / Cause List

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