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Hack 8 - Challenge 7 - Partner Performance Predictor

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There are very few established tools available to project team to allow easy and clear monitoring of the performance of the design teams, despite a large amount of design-related data being available through our Common Data Environment. Two particular strands of this data have been selected as potential candidates for creating metrics for monitoring & reporting on design team performance:

RFI Data - 'Requests for Information', where additional clarification and information is required on specific elements of the design. While these are a normal part of the design process, it is thought that  an excessive amount of RFIs indicate a design is badly thought-out of incomplete. In addition, RFIs that take a long time from being raised to being resolved would suggest a design team that is not attentive to the needs of the project team.

Drawing Data - 'General Arrangement' and 'Layout' drawings as a representative sample of the type of drawing that all projects are likely to have. The key focus here is on revisions - an excessive amount of revisions indicate a poorly co-ordinated drawing while revisions taking place over a long period suggest an overly complex design process. Additionally, extensive revisions to 'Construction Issue' drawings can be particularly disruptive to project teams and instigate costly and time-consuming change processes.

In addition, some basic project information has been provided on the projects shown in the datasets to allow context on scale, status etc.

Using the above data you should develop a set of metrics to assess and model design partner performance and also look to explore trends across data - such as what stage of a project sees the largest volume of RFIs. Consider this data in the context of what a main contractor could do to improve the process - for example if a large volume of RFIs occur at a certain stage in the project, they might commit additional design staff during this period.

You should also consider:
- Which designer had a disproportionate amount of RFIs?
- Where did RFIs take a long time to close out and require multiple iterations?
- How are RFIs distributed over time and what is the implication of this?
- Which designer partners required a large amount of change to their design drawings and how long did this change process last?
 
 
CHALLENGE 7.pptx Challenge 7b - Demo Dashboards.pbix Drawing Data.xlsx Drawings.ipynb ML Rev 3.ipynb RFI Data.csv RFI.ipynb

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About Hack 8 - Challenge 7 - Partner Performance Predictor

There are very few established tools available to project team to allow easy and clear monitoring of the performance of the design teams, despite a large amount of design-related data being available through our Common Data Environment. Two particular strands of this data have been selected as potential candidates for creating metrics for monitoring & reporting on design team performance:

RFI Data - 'Requests for Information', where additional clarification and information is required on specific elements of the design. While these are a normal part of the design process, it is thought that  an excessive amount of RFIs indicate a design is badly thought-out of incomplete. In addition, RFIs that take a long time from being raised to being resolved would suggest a design team that is not attentive to the needs of the project team.

Drawing Data - 'General Arrangement' and 'Layout' drawings as a representative sample of the type of drawing that all projects are likely to have. The key focus here is on revisions - an excessive amount of revisions indicate a poorly co-ordinated drawing while revisions taking place over a long period suggest an overly complex design process. Additionally, extensive revisions to 'Construction Issue' drawings can be particularly disruptive to project teams and instigate costly and time-consuming change processes.

In addition, some basic project information has been provided on the projects shown in the datasets to allow context on scale, status etc.

Using the above data you should develop a set of metrics to assess and model design partner performance and also look to explore trends across data - such as what stage of a project sees the largest volume of RFIs. Consider this data in the context of what a main contractor could do to improve the process - for example if a large volume of RFIs occur at a certain stage in the project, they might commit additional design staff during this period.

You should also consider:
- Which designer had a disproportionate amount of RFIs?
- Where did RFIs take a long time to close out and require multiple iterations?
- How are RFIs distributed over time and what is the implication of this?
- Which designer partners required a large amount of change to their design drawings and how long did this change process last?

 

 

CHALLENGE 7.pptx Challenge 7b - Demo Dashboards.pbix Drawing Data.xlsx Drawings.ipynb ML Rev 3.ipynb RFI Data.csv RFI.ipynb

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