Camera lens implying focus and zooming in

 Footdown's F1.1 Technical Architecture   

Footdown's F1.1 does not use cookies. F1.1 does not use Flash. F1.1 does not use client side Java or Javascript processes. Footdown F1.1 is entirely constructed with standard HTML5 and is not open to hacking abuse or security loopholes. Information we collect about our users is held secure and we do not share data with 3rd parties. 
 
 
Footdown's F1.1 Organisational Intelligence Platform tool has been evolving for nearly seven years and has gone through many manifestations as a back-office tool developed to support service delivery. Over those years we have created a vision of how the work we have been doing can be carried effectively to a wider audience. The same environmental pressures and opportunities, brought about by near universal digitisation, that have caused many of our clients to seek us out have provided us with the platform to deliver the experience and expertise, gained through years working in the field, to any and every organisation leader looking to keep that vital edge. 
 

Footdown's F1.1 is an Organisational Intelligence Platform 

 
It is a survey and data analysis tool with a built in expert system delivering focused diagnostics, prognostics and prescriptions. Specifically, iFootdown is designed to enable business leaders to look inside their organisation quickly, inexpensively and purposefully and then to select appropriate intervention activities to ensure the most effective outcomes. This is achieved through the automation of the processes and business analysis expertise built up within Footdown over the last ten years; validated in the field and in collaboration with Bath University. 
 
 

The Presentation Component  

The presentation component; 
 
Provides for different types of user with different access, task and visualisation requirements 
Includes a number of apps to allow participants to enter responses to surveys and view their own and possibly other results 
Supports a web portal to give administrative users, e.g. power users, greater access and task capability including setting up surveys, creating reports and dashboard layouts and content for leaders 
Provides a highly visual dashboard interface for leaders to view the organisation health as measured by specific surveys, as a whole and by subdivision of the organisation 
 

The Perception Component  

The Perception component;  
 
Is the engine which carries out surveys and collects and retains responses 
Is an effective and efficient analytic which supports several distinct types of survey including a broad one to allow a quick scan of the whole organisation and a deep one to provide a detailed focus on domains of interest highlighted by the quick scan 
Quick scan surveys (Lenses) look at all areas of the HPW Model and are ‘General and Simple’ in the terms of Thorngate’s Postulate 
Zoom-In focus surveys, which drill down into specific areas of the seven domain Model are ‘Simple and Accurate’ in the terms of Thorngate’s Postulate 
 

The Discovery Component  

The Discovery component carries out initial computation on the results including aggregation, totals, statistical functions, built-in threshold checks etc. Descovery; 
 
presents results of ‘quick scan’ surveys in a matrix fashion so that results can be examined in two orientations; e.g. from the point of view of the specific dimensions of the survey and from the point of view of the dimensions of the HPW Model 
highlights areas identified in the quick scan survey worthy of further investigation, for example where a threshold is exceeded, i.e. assist the zoom-i
presents results of detailed zoom surveys in a hierarchic fashion  
derives information from external data linked to the survey, e.g. via data mining or business intelligence functionality 
 

The Interpretation Component  

The Interpretation component transforms the results into various forms dependent on the recipient, the medium and the interpretation requirements. Interpretation; 
 
uses reusable report templates with static and rules-based content 
produces reports for individual participants and for leaders looking at groups of participants from a single team to the whole organisation 
produces charts and reports of varying degrees of complexity and detail; e.g. dials, bar charts, pie charts, derived text and images etc. 
produces comparisons of results across time periods, teams, organisations and subdivisions of these 
uses the Analytic’s rules engine to perform some of the more complex tasks, such as selecting relevant content for reports 
 

The Enhancement Component  

The Enhancement component uses the Analytic’s rules engine to transform interpretations into intervention recommendations 
Enhancement provide a shop window of pre-defined intervention products and programmes 
 
Rules are based on individual scores from surveys or combinations of scores from surveys or combinations of scores and values drawn from external data sources. 
 
Underpinning the analytic is a comprehensive seven domain model of a functioning organisation which supports hierarchic and matrix style views of the entity (see Perception) 
Analytic database supports administrative data such as organisations, their subdivisions, teams and people (participants); such data allows the analytic to link easily to other systems containing data about the organisation 
Analytic database will contain definitions of charts, reports and dashboard layouts and rules used to define these and to implement interfaces to other ‘external’ data 
Analytic database also contains definitions and links to information about interventions including the rules which result in their selection for recommendation