This is the Planning Quality Framework report for Council councilc. It tells the story of the performance of the council's Planning Service taking account of:
The report includes some bar charts, line graphs and boxplots guide to box plots. In the line graphs your council is represented by the thicker coloured line and its average is the thick red line. The overall 'trend' is indicated by the thicker, darker grey background.
The report has individual sections which are useful but on their own don't tell the whole story. The real story emerges when different parts of the report are knitted together. For example, how many councils, in response to a performance culture based on speed and targets, have carried out expensive process reviews just to make quicker decisions, and fail to notice that they say yes more than their peers, create less waste and have happier customers? That is the essence of this report - a much more rounded story of what is happening and what direction things are heading in.
This shows the different kinds and volumes of development the Planning Service handles, how it receives applications, and the fee income.
Purpose: Understanding the volume of applications for each type of development over the last 18 months
Purpose: To understand how your work and fee income compares with your peers.
This is the count and fee income of applications received, grouped into categories. This is an 18 month figure:
The same information as a table:
##  "Fees associated with these applications"
Purpose: To understand how the counts of the various sorts of applications is changing over time
This part of the report looks at how many and which types of development proposals get approved.
Purpose: What types of development are we saying 'yes' to and how often?
This is the same information broken out by development category. Figures are in %
This part of the report looks at how much work gets withdrawn and how much additional work results from the original application e.g discharge of conditions.
Purpose: Rates of withdrawal are a 'waste' indicator. Where possible they should be reduced to near zero.
This is the same information broken out by development category. Figures are in %.
This part of the report looks at the investment value that development proposals represent, and how well matched the resources (FTEs) are to the volumes of work
Purpose: The following 3 plots follow the same form. These plots are organised by when the application is received (not determined).
[note these values need adjusting down for the category of application within development type]
Do not use this yet !
The 'FTE estimate' plot is based on PAS 2012 Benchmark data.
The 'Investment estimate' plot is based on the build costs for different types of development - these are just PAS estimates for now so are illustrative only. Estimated cost of work means an estimate accepted by the local authority as being a reasonable amount that would be charged by a person in business to carry out such work (as per building control)
This section of the report focuses on processing times - summarising how long the validation and determination of applications took.
Purpose: Shows the proportion of applications received that can be worked on straight away.
The same figures as a table. Numbers are % valid on day 1 (this sometimes includes delays matching applications up with their payments)
The next 3 datasets use 'Boxplots'. Boxplots allow you to see how much variation there is in a set of data - something that a single number like an 'average' doesn't show you. Click here for a quick and simple guide to boxplots.
Purpose: Shows the number of days it takes for applications to be made valid. A box-plot displays a range of values (days here). If you can't see a line in the middle of the box plot then your median value is zero (that means that at least half of the applications received are made valid on the day they arrive which is good).
Purpose: Delays matter to applicants. The queue time is just the average time to make valid times the number of applications. This helps prioritise the biggest aggregate queue. This may not be the longest period - it is strongly correlated to the most frequent applications.
Purpose: Shows the number of days between applications being declared valid and a decision notice being issued.
For review: As previous box plot plus
Purpose: Shows the number of days between applications being received and a decision notice being issued.
For review: As previous plus
This will help you check that the volumes of data per quarter are correct and the correct chunk of time.
Some of the trends and averages will mislead if the datasets cover different ranges, and if quarters don't have 4 weeks of data the graphs in your reports may also mislead.
This is the same information by development type.
This is a draft report for the Planning Quality Framework. It is version 0.6 last changed on 2014-09-03. It was generated on 2014-11-10.
This is a project from the Planning Advisory Service. There is more information at our project pages
With thanks to the makers of the R Language the R Studio, and marvellous libraries ggplot2 and KnitR