Problems we solve
When Multiple Service Lines Are Forced Through One Pipeline
Direct answer
Forcing different service lines through one pipeline produces stages that do not apply, conversion rates that average unlike deals into a meaningless number, and follow-up cadences that fit none of the motions well. The fix is distinct pipeline logic per motion on a shared data model.
What this feels like day to day
Half the stages are skipped depending on what we are selling.
- Stages regularly skipped or renamed informally
- One blended close rate used for planning
- Recurring and project work managed identically
- Marketing content aimed at one buyer while sales serves several
Financial impact
- Misallocated sales effort
- Forecasts that cannot be trusted
- Underperforming service lines that stay invisible
Operational impact
- Confused reporting
- Inconsistent customer experience
- Capacity planning built on blended assumptions
Questions to ask internally
- How many genuinely distinct GTM motions do we run?
- What is the conversion rate and cycle length of each?
- Which stages apply to which motion?
- Where does routing decide the motion?
Metrics that reveal the problem
- Conversion and cycle length by motion
- Revenue mix by service line
- Stage skip rate
- Routing accuracy
First steps toward a fix
- Inventory the real motions
- Split reporting by motion before splitting the pipeline
- Design stage logic per motion
- Keep one shared customer and company data model
How the Blueprint evaluates this
- GTM motion inventory
- Per-motion pipeline design
- Routing rules
- Cross-motion reporting model
Build the System Before Growth Creates More Chaos
Identify the leaks. Prioritize the highest-payback opportunities. Build the operating foundation behind the next stage of growth.