Heatmap and Routines
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.
Written By Tommy Giesbrecht
Last updated 5 months ago
What is a heat map at findIQ?
The heat map depicts the error knowledge: It shows which error causes are related to which symptoms - and how often these combinations occur in practice. Based on this, you can store routines: specific step-by-step instructions for rectifying these causes.
Explanation of terms
π Symptom: An observable characteristic such as a sound, odour or display.
π οΈ Cause: A rectifiable fault that triggers a symptom.
π Routine: A step-by-step guide to rectifying a cause.
Frequencies
In the heat map, you link causes with symptoms using frequencies, i.e:
always - performs together every time
often - occurs together in many cases
rarely - only occurs together occasionally
never - no connection known
It is important to determine the cause first, then assess the symptom.
With ___ (cause) I recognise ___ (frequency: always, often, rarely, never) the ___ (symptom).
Four steps to your first heat map
How to Structure Your Knowledge Base
In findIQ, knowledge is structured around two central principles: labels and chains.
They allow knowledge to be organized in a targeted way and later filtered or searched with ease.
1. Categorizing Knowledge with Labels
Within a template, building blocks such as causes, symptoms, or routines can be tagged with labels.
Examples of labels:
Type of error: mechanical, electrical, software-related
Machine area: hydraulics, control system, sensors
Variants: software versions, product series
2. Connecting Templates with Linkages
Linkages are used to bring different knowledge elements together, making them reusable.
Examples of linkages:
Machines to production lines: Multiple machines can be linked together to form a complete production line.
Assemblies to machines: Individual assemblies can be connected to form an entire machine.
Variants: A machine can be combined with different modules β e.g., Machine 1 with Module 1 or Machine 1 with Module 2.
Template or Label? β How to Decide
Use Labels when β¦
The core knowledge remains the same, with only details differing.
The differences are mainly variant-related (e.g., product series, software version, equipment).
You need comparisons or filters to quickly view different variants at a glance.
Create a new template when β¦
The knowledge should be reused in multiple places.
It represents a standalone knowledge element that can exist independently.
The content differs so significantly that labels are not sufficient.