You've got some foundation in place, but there are clear bottlenecks limiting your growth. Some processes are automated, but many still require manual intervention. Companies at this stage often see the biggest ROI from infrastructure improvements.
Your score by stage
Your biggest gap is in
Expansion
67
/ 100
Selection
Your market intelligence and targeting. How well can you identify, monitor, and align around your ideal accounts?
43
/ 100
Activation
Your sales execution infrastructure. Can your team act on signals efficiently, or are they drowning in manual work?
33
/ 100
Expansion
Your operational scalability. Is your data foundation solid? Do your tools talk to each other? Are you ready for AI?
Your top 3 bottlenecks
Based on your answers, these are the areas with the biggest gaps. Fixing these would have the highest impact on your revenue engine.
#1
Account List Freshness
Decaying Target Account List
The problem
Your target account list is months (or years) old. This means companies change, people move, markets shift, but your list doesn't. You're reaching out to wrong people and missing new companies that fit your ICP.
The impact
Outreach going to wrong people. Missing new companies that fit your ICP. Working from outdated assumptions.
What to do
Turn your static list into a living system. Build automated refreshes that add new accounts, remove defunct ones, and update contact information continuously.
#2
Research Time
Reps Are Data Entry Clerks
The problem
Your reps spend 15+ hours per week on manual prospect research. This means 750+ hours per rep per year not spent selling, expensive talent doing commodity work while pipeline is limited by research capacity.
The impact
Expensive talent doing commodity work. Pipeline limited by research capacity. Rep burnout and turnover.
What to do
Automate the finding. Build a prospecting engine that delivers qualified, enriched prospects to reps with context. Shift rep time from research to conversations.
#3
Prospecting Workflow
Manual Prospecting Processes
The problem
Finding and qualifying prospects involves LinkedIn searches, Google, spreadsheets, and copy-paste. This means your pipeline is capped by manual capacity, data quality degrades with each handoff, and you can't scale without adding headcount.
The impact
Pipeline capped by manual capacity. Data quality degrades with each handoff. Can't scale without adding headcount.
What to do
Build end-to-end prospecting automation. System finds accounts, identifies contacts, verifies emails, enriches data, and delivers to CRM, without reps touching a spreadsheet.
Want help fixing these bottlenecks?
We build GTM and RevOps infrastructure for B2B companies. The same framework that identified your bottlenecks guides how we fix them.
