Here you will find a series of inductory videos created to help you get started with using Realisor.
Note that on the videos there is now a 'Details' window
hidden on the far right of the screen rather than the icons that appear
on the map to get to see summary data on the map.
We're re-recording the videos at the moment to bring up to date
Video 1 - Objectives and Outcomes
The first video is to to help you get started in
using Realisor to a high standard and also that you enjoy using it too. This first video will be covering a number of
things including the creation of some outcomes and also some objectives. To help you get clarity on what they are when
you are engaging in a piece of work or trying to describe something and engage
with people.
Video 2 - Extra Nodes & Data
In this video we will be adding to the model
that you have already created with some extra nodes and also we will be looking
at how to put data behind the model so that we can actually document it and get
some extra clarity.
Video 3 - Measures & Contributions
This video covers the creation of measures on
the outcomes and how the weightings and contributions affect the flow of value in Realisor.
Video 4 - Capabilities & Projects
This video is a really important video, because
what we are going to do is to cover the additional nodes required for a full
model.
Video 5 - Resources & Costs
This video shows you how to create resources in Realisor and add them to the programme nodes (project, process, function, component).
Video 6 - Time & Phasing
This video takes a look at the time and phasing aspect of the Realisor model.
Video 7 - Optimise & Report
This video shows you how to set up options and compare them, to help you make a choice about which programmes and investments are most attractive in terms of cost and benefit.
Video 8 - Optimise Data on the Map
This video continues on from video 7, showing you how to display information and values on the map.
Video 9 - Monitoring Costs & Benefits
This video demonstrates through life realisation, showing how to capture measure and resource data and use this to realise greater benefits/maintain control of delivery.
