Closed Loop Calling Process for Automated Communication Management
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Solution Overview
Problem
Current automated calling systems lack the ability to efficiently manage metadata for prospects, leading to inefficient creation of calling lists and coordination of follow-up actions across multiple calling sessions, including automated and manual dialing, which results in missed opportunities and conflicts in communication timing.
Innovation Solution
A closed loop calling process that creates and manages metadata about prospects, allowing for easy creation of desired calling lists by applying query filters to a master contact list, and automatically updates customer relationship management systems with call disposition data, status, attention classes, and follow-up dates, ensuring coordinated and timely communication attempts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated calling systems conduct successive calling sessions separated by days, weeks, or months, then users can reach more prospects, but coordination of follow-up actions becomes difficult and conflicts in communication timing occur
Solution Approach 1:
The system implements a closed-loop calling process where call disposition data from each session automatically updates prospect metadata in the database. This feedback mechanism tracks which prospects have been contacted, their response status, and schedules follow-up dates, enabling automatic re-inclusion in calling lists without manual intervention and preventing communication conflicts
Solution Approach 2:
The system automatically manages the complexity of coordinating multiple calling sessions by self-updating prospect status and follow-up schedules based on call outcomes. The automated calling system handles the coordination itself rather than requiring manual management, reducing the perceived complexity for users while maintaining high productivity across successive sessions
2Reliability
If manual updates are performed in CRM system after each calling session, then call dispositions can be recorded, but time and accuracy are lost due to manual effort
Solution Approach 1:
The automated calling system automatically updates the CRM system with call disposition data, prospect status, and follow-up information without requiring manual user input. The system self-manages the data synchronization process, eliminating the time-consuming manual update task while maintaining high accuracy through automated data capture from call outcomes
Solution Approach 2:
The system acts as an intermediary between the automated calling process and the CRM system, automatically transferring call disposition data and prospect metadata. This automated data bridge eliminates the need for manual transcription while ensuring accurate and timely updates to the CRM system
3Adaptability or versatility
If users mix automated calling sessions with unscheduled manual dialing, then flexibility is improved, but conflicts arise such as calling prospects back too early or before agreed next steps
Solution Approach 1:
The closed-loop system continuously updates prospect metadata with follow-up dates and next step information from each calling session. This real-time feedback ensures that both automated and manual calling activities are coordinated based on current prospect status, preventing conflicts such as premature follow-up calls while maintaining user flexibility in choosing calling methods
4Productivity
If metadata about prospects is not systematically managed, then calling lists can be created quickly, but follow-up actions are missed and communication timing conflicts occur
Solution Approach 1:
The system automatically manages prospect metadata including call status, follow-up dates, and next steps without requiring manual tracking. This automated metadata management enables quick creation of calling lists through query filters while simultaneously ensuring reliable follow-up actions by automatically re-including prospects in calling lists when their follow-up dates are reached
Solution Approach 2:
The metadata database serves as an intermediary layer between calling sessions and prospect management, systematically storing and organizing prospect information. This structured metadata system enables both rapid calling list generation through filtering and reliable follow-up tracking, resolving the contradiction between speed and reliability
Data Source
AI summary
Methods and systems are disclosed herein for a closed loop calling process that selects and maintains an optimized list of prospects to use in calling sessions, using historical information stored concerning past contact activity relating to the prospects. For each prospect, information is stored concerning the status of the prospect, attention appropriate for the prospect, a date before which the prospect should not be contacted, and information concerning next steps to be taken with respect to the prospect. In addition, methods and systems are disclosed for automatically integrating an automated calling system with a customer relationship management system, contact management system, and/or task management system, so that historical information stored concerning past contact activity and automated calling sessions relating to contacts is automatically updated in the customer relationship management system, contact management system, and/or task management system.