Case study
Outbound Sales Operations System
Designed and implemented a complete outbound sales operating system to support business development, prospect management, and scalable client acquisition.
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The complete architecture, implementation details, screenshots, outcomes, and technical documentation remain available throughout this case study.
Delivered
Project Status
Supported
Outbound
Operating Model
Supported
AI-assisted
Research Support
Supported
TBC
Measured Impact
Pending data
Business context
Why the project mattered
TeacherTee needed a structured outbound operating model to support prospect sourcing, stakeholder research, outreach management, and pipeline visibility.
The project focused on turning business development activity into a repeatable system rather than a collection of ad hoc outreach tasks.
The operating model needed to combine CRM structure, research workflows, follow-up management, discovery call handling, proposal progression, and reporting.
Problem statement
What had to improve
The company required a repeatable outbound sales process that combined prospect research, CRM management, automation, and performance tracking while maintaining a personalised approach to outreach.
Ad hoc outreach
Business development activity needed a clearer repeatable process for sourcing, research, outreach, and follow-up.
Prospect management
Prospects needed to be segmented, tracked, and moved through a structured CRM pipeline.
Research consistency
Stakeholder and account research needed a standard process so outreach could remain personalised without becoming unmanageable.
Follow-up visibility
Follow-up sequences, discovery calls, and proposals needed clearer operational tracking.
Performance tracking
The sales process required KPI tracking and reporting to understand activity and pipeline progression.
System documentation
The outbound workflow needed documentation so the process could be repeated and improved.
Discovery & analysis
How the workflow was understood
Before the solution was framed, the work focused on understanding the operating conditions around the problem.
- The outbound process needed to begin with ICP segmentation and prospect sourcing rather than generic outreach.
- CRM pipeline design was required to create visibility across prospecting, outreach, discovery, proposal, and follow-up stages.
- AI-assisted prospect research could support personalisation, but the operating model needed to remain practical and human-led.
- KPI tracking and reporting were needed to make activity, conversion points, and pipeline health easier to review.
- Documentation was required to make the sales process repeatable.
Analysis method
The work translated process observations into requirements, workflow decisions, implementation constraints, and review points.
Solution overview
What was built and why
Designed and implemented an end-to-end outbound sales system covering prospect sourcing, ICP segmentation, stakeholder research, CRM architecture, outreach workflows, and follow-up sequences.
Built the operating model around discovery call management, proposal workflow, KPI tracking, AI-assisted prospect research, operational reporting, and sales process documentation.
The system was designed to improve visibility and consistency across business development activity while preserving a personalised approach to outreach.
Architecture
Architecture and workflow diagram
The diagram area is designed to make the operating model visible: inputs, workflow stages, decision points, handoffs, and review loops.
Implementation
Implementation Journey
Tools used
LeadConnector, Apollo, Make.com, Airtable, LinkedIn, OpenAI, Business Process Design, CRM Architecture, Sales Operations, Workflow Automation
Step 1
Sales operations framework
Defined the outbound operating model, core stages, responsibilities, and activity flow across the sales process.
Step 2
Prospect research workflow
Designed sourcing, ICP segmentation, stakeholder research, and AI-assisted research steps to support relevant outreach.
Step 3
CRM pipeline design
Structured the CRM pipeline for prospect management, outreach status, discovery calls, proposals, follow-up, and reporting.
Step 4
Outreach and follow-up management
Created workflows for outreach management, follow-up sequences, and discovery call progression.
Step 5
KPI dashboards and reporting
Configured reporting views to improve visibility across activity, pipeline stages, and sales operations performance.
Step 6
Sales documentation
Documented the sales process, research workflow, follow-up process, discovery call process, and proposal workflow.
Evidence
Evidence gallery
This section supports product screenshots, workflow screenshots, CRM views, Airtable or Make evidence, automation screenshots, and UI states.
Sales operations framework
Documented operating model covering prospect sourcing, research, outreach, discovery, proposal workflow, and KPI tracking.
CRM pipeline design
Pipeline structure designed to manage prospects, outreach, follow-up, discovery calls, and proposal progression.
AI-assisted research process
Research workflow combining prospect data, stakeholder context, and AI-assisted preparation for personalised outreach.
KPI dashboards
Reporting views designed to provide visibility across outbound activity and pipeline progression.
Outcomes
Outcomes and impact
Outcomes are presented as supported operational improvements. Quantitative metrics remain marked as TBC where production data is not yet available.
Before
- Outbound sales activity needed a repeatable operating model.
- Prospect research, outreach, and follow-up were difficult to manage consistently.
- Pipeline visibility and KPI tracking needed clearer structure.
- Discovery and proposal workflows required standardisation.
After
- Prospect sourcing, ICP segmentation, research, outreach, and follow-up structured into one operating system.
- CRM pipeline design improved visibility across outbound activity.
- AI-assisted research process supported personalised outreach preparation.
- Sales documentation created a repeatable process for business development.
Metrics
Delivered
Project Status
Supported
Outbound
Operating Model
Supported
AI-assisted
Research Support
Supported
TBC
Measured Impact
Pending data
Outcomes
Created a repeatable outbound sales operating system for structured business development activity.
The system supports scalable client acquisition through operational discipline rather than ad hoc outreach.
No conversion rates, revenue figures, or activity metrics are included because they were not supplied.
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Lessons learned
Outbound needs operating discipline
Sales activity becomes easier to scale when sourcing, research, outreach, follow-up, and reporting are treated as one operating system.
Personalisation still needs structure
AI-assisted research can support outreach quality, but the workflow still needs clear steps, review points, and CRM tracking.
Visibility improves management
Pipeline design and KPI reporting make business development activity easier to review, manage, and improve.
Future
Future enhancements
The documented roadmap identifies practical ways the workflow could be extended without overstating current impact.
Outbound conversion reporting
Additional outreach sequence testing
Prospect enrichment workflows
Proposal automation
Sales performance review dashboards
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