CK Flows

SaaS — Opportunity Stage Orchestration

Stage-driven subflows and guardrails that standardize progression, reduce stalls, and automate next steps for AEs.

SaaSRecord-Triggered, Subflow2025-09-241 min read
+14%
Stage throughput (Q→Won)
−29%
Stalled opps (30d+ idle)
−19%
Rework (backward stage moves)

TL;DR

  • Stage-specific entry criteria trigger subflows for tasks, approvals, and validations.
  • Guardrails prevent skipping critical data and surface hints for missing items.
  • Managers gain visibility into stuck deals and rework shrinks.

Context

Mid-market SaaS with multi-stage sales cycle and variable AE practices.

Problem

Deals stalled at qualification and proposal; critical data omitted; approvals inconsistent.

Intervention

Stage gates — Entry criteria per stage, with required fields and validation hints.

Subflows — Create next best tasks, request approvals, post summaries, and set SLA timers.

Stall detection — Scheduled check marks opps idle >N days and nudges owners with context.

Audit & coaching — Chatter summaries and dashboard slices by stage/owner for pipeline reviews.

Outcomes

Window120 days pre vs 120 days post go-live
IndustrySaaS
CloudsSales Cloud
Flow TypesRecord-Triggered, Subflow
+14%
Stage throughput (Q→Won)
−29%
Stalled opps (30d+ idle)
−19%
Rework (backward stage moves)

Throughput measured as % of opps moving from Qualification to Closed Won. Stall threshold set at 30 days idle (configurable).

Timeline

2 sprints plus 1 sprint of coaching dashboards.

Stack

Sales Cloud, Approval Processes (where used), Chatter summaries.

Artifacts

  • Stage gate decision map
  • Next-best-task subflow diagram
  • Stalled pipeline dashboard (owner × stage)

FAQ

Will this block AEs when exceptions are needed?

Guardrails show actionable hints and allow admin-approved bypasses captured in the audit trail for review.

How hard is it to change stage logic later?

Logic lives in small decision subflows; changes are tested in sandboxes with sample scenarios before deployment.