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Using technology to improve contact management

Using technology to deliver efficient and effective contact services to the public.

First published
8 mins read

The National Contact Management Strategic Plan 2023-2028 (PDF, 1.8KB) highlights the importance of making the “best use of technology to deliver a service to our communities that is reassuring, efficient and effective at the earliest point of contact.”

Technology can be utilised in a number of ways, including:

  • assessing the resource needed to meet current or future demand 
  • reducing the effort required from the public to achieve the outcome they need 
  • helping make decisions based on available data 
  • resolving contact at the earliest possible point
  • helping citizens to self-serve, where appropriate

This information supports you as a contact centre leader by:

  • highlighting positive practices in the use of technology, from a range of force contact centres 
  • signposting you to relevant guidance, standards, and resources 

Preparing for the switch to digital telephone networks

The National Contact Management Strategic Plan (2023-2028) makes the working assumption that “telephone and voice will continue to be the public and policing’s channel of choice for emergency contact.”

By 2027, all telephony systems will be switched over to digital networks nationally. Your force should ensure that your contact centre network is configured to:

  • accept incoming voice calls via digital telephone networks
  • process enhanced Information System for Emergency Calls (EISEC) and Advanced Mobile Location (AML) data from BT (in the case of 999 calls)

Your force may opt for an on-premise or cloud based telephony platform. In either case, you should ensure that reliability and availability tolerances are set at a level that matches the critical national infrastructure requirements for 999 and 101 networks.

The switch to digital telephony networks will provide better support for people to communicate via a range of channels such as internet calls, video conferencing, and online collaborative tools.

Where possible, forces should consider ensuring that voice and digital channels are integrated to allow a citizen to use more than one option, where appropriate.

But forces must make sure that the level of response to online reports is no less than it would have been had the victim called. Our inspections found that many forces had no way of assessing and monitoring the performance of response to online crime reporting. This must improve. 

Police performance: Getting a grip, HMRCFRS, 2023

Use of technology to support dispatch management (practice example)

Norfolk Constabulary share how they use technology to support with:

  • allocating jobs
  • estimating and monitoring response times

Intelligent call routing (practice example)

Norfolk Constabulary told us how they use technology to help manage and assess contact requests across a range of channels (including phone, live chat, and email).

Supporting THRIVE assessments (practice example)

Processing contact requests as efficiently as possible, must be balanced against providing the right level of support to the public. This is especially true in contact that involves vulnerable people.

Surfacing the right data, from the right IT system, at the right time, can support teams to make evidence-based decisions in relation to THRIVE (threat, harm, risk, investigation, vulnerability and engagement) assessments. 

Cleveland Police have implemented Initial Contact Enquiry (ICE) for call handling. This is an IT solution that draws together information from different sources. It helps contact centre teams to identify, more efficiently, whether an individual is known to be vulnerable or a repeat caller. The system has also been effective in helping them to reduce call handling times.

Automating quality assurance processes (practice example)

Lancashire Constabulary have introduced a contact management quality assurance process. This has involved employing a service improvement supervisor who has identified areas of focus for quality assurance (QA).

Using a range of existing software, the force have been able to automate their QA assessment and reporting processes.

Their aim is to assess the quality of work being produced within the force control room while providing a fair and consistent approach across all areas of the department, such as switchboard, call handling and online reporting.

They're using the QA system to address areas of improvement identified through PEEL inspections; monitor whether training needs to be adapted for new recruits; and capture the quality of THRIVE assessments.
 

Supporting operators to process requests (practice example)

The Metropolitan Police Service (MPS) have introduced robotics process automation (RPA).

This has:

  • expediated the process of transferring details from online crime reports
  • led to improved triage outcomes
  • improved data accuracy with reduction in human error

The force found the RPA to have a success rate of 98.3%, based on around 280,000 online crime reports submitted annually. This amounts to a saving of more than 7,000 hours per year. This makes a significant contribution to ensuring all online crime reports are processed within one hour of submission and the crime is classified within 24 hours of receipt.
 

Supporting citizens to self-serve (practice example)

Demand on 101 services can be increased by members of the public asking for updates on a crime they’ve already reported.

Thames Valley Police and Hampshire Constabulary have implemented a citizens portal and automated messaging to help address this. It’s helped them to reduce calls to their 101 services by 14% and 21% respectively. 

The portal can send up to 120 different automatically generated messages which include information such as:

  • confirmation that reports have been received
  • updates that an officer has been deployed
  • when the crime has been allocated for investigation
  • details of appointments that have been made
  • information to the victim that their case has been closed and the reason why
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