Scope of Work: Custom Chatbot Reporting Dashboards

1. Discovery & Requirements Gathering

• Identify client’s chatbot platforms (HubSpot, Intercom, Drift, Zendesk, custom-built).
• Define key goals: lead generation tracking, support performance, customer engagement insights, or revenue impact.
• Collect requirements from stakeholders (marketing, sales, support, product).
• Document KPIs to measure (conversion rates, response times, satisfaction scores, retention).

2. Data Audit & Integration Planning

• Audit available chatbot data (conversations, intents, flows, drop-off points, outcomes).
• Identify integrations required:
  • CRM (HubSpot, Salesforce, Zoho)
  • Support platforms (Zendesk, Freshdesk)
  • Analytics tools (Google Analytics, Mixpanel)
  • BI tools (Power BI, Tableau, Looker)
• Define data sync method (APIs, webhooks, middleware, direct exports).

3. Dashboard Design

• Design dashboard wireframes with multiple views:
  • Engagement Metrics: number of conversations, active users, engagement rate.
  • Performance Metrics: average response time, resolution time, escalation rate.
  • Conversion Metrics: leads captured, meetings booked, sales assisted, revenue influenced.
  • User Experience Metrics: CSAT scores, sentiment analysis, drop-off points.
  • Bot Optimization Insights: top intents, failed intents, escalation triggers.
• Role-based dashboards (marketing, sales, support, leadership).

4. Implementation

• Connect chatbot data sources to reporting system.
• Configure ETL pipelines for structured data flow.
• Build custom visualizations: funnels, heatmaps, trend lines, comparison charts.
• Enable drill-down features for conversation-level analysis.
• Set up automated refresh schedules (real-time or periodic updates).

5. Testing & QA

• Validate accuracy of metrics against raw chatbot logs.
• Test cross-platform sync (chatbot ↔ CRM ↔ analytics).
• Check dashboard load times and mobile accessibility.
• Ensure correct permissions and access controls.

6. Reporting & Dashboards Delivery

• Deploy interactive dashboards in BI tool or inside CRM.
• Provide automated reporting (weekly/monthly performance summaries).
• Enable custom export options (CSV, PDF, Excel).
• Train users on dashboard navigation and insights interpretation.

7. Optimization

• Continuously refine reporting structure based on stakeholder feedback.
• Add predictive insights (churn risk, conversation outcomes, revenue forecasting).
• Incorporate AI-powered sentiment analysis and trend detection.
• Expand dashboards with multi-channel data (chat, email, SMS, social).

8. Ongoing Monitoring & Support

• Regular data quality checks.
• Update dashboard as chatbot capabilities or business needs evolve.
• Provide technical and strategic support for chatbot optimization.
• Schedule quarterly performance reviews with stakeholders.

Value Delivered

• Complete visibility into chatbot performance and ROI.
• Improved decision-making on chatbot strategy and automation design.
• Enhanced customer experience through conversation optimization.
• Increased sales and support efficiency with actionable insights.
• Scalable reporting framework for future chatbot and AI initiatives.