Branch Signal Reliability Navigator

This workflow turns “we have numbers” into “we have decision‑grade evidence.” It first gives the knowledge base a chance to answer directly, then routes the conversation into practical, decision-shaped coaching paths (trust checks, dirty-signal spotting, automation vs judgment, branch comparisons, and signal culture).

It’s built for the moment right before a team gets confidently wrong: when dashboards look clean, attribution seems certain, and branch performance comparisons get treated like physics instead of evidence.

• Knowledge-base first response, then guided routing to decision-ready checklists
• Interactive menu that keeps operators and leaders out of free-text rabbit holes
• Structured “if this, then that” guardrails for common branch analytics failure modes
• A human handoff option for high-stakes or ambiguous cases
• Loop-back navigation so users can run multiple checks in one session

1. Start (Input): A user starts the conversation.
2. Knowledge base pass (Knowledge Base Policy): Calypso attempts to answer from your saved guidance first; if it can’t, it falls back to routing.
3. Choose a focus (Interactive Menu): The workflow presents a set of buttons:
   • Which branch numbers deserve trust?
   • How to spot dirty signal fast
   • Automation vs human judgment
   • Comparing branches & attribution
   • Building a signal culture
   • Talk to a human
4. Route by selection (If nodes): The workflow checks which button was clicked and sends the matching advice.
5. Get the playbook (Text Message): The user receives a concise, practical checklist with “what usually goes wrong first.”
6. Run another check (Loop back): After most answers, the workflow returns to the menu so the user can pick another topic.
7. Escalate when needed (Fallback): If the user selects Talk to a human, the workflow hands off to your chosen department.

• No external credentials are required.
• To get the best results, populate your Calypso Knowledge Base with your organization’s definitions (branch KPIs, attribution rules, event taxonomy, and known data caveats).