How we work

    From first conversation to working system. Step by step, no surprises.

    Every project starts from your situation

    We see three common starting points. Recognize one?

    You work with spreadsheets, email or disconnected tools. There's no central place where your commercial process is tracked.

    No overview of where prospects and customers are in the lifecycle
    Forecasting is based on gut feeling
    Nobody knows if a lead is an MQL or SQL

    Regardless of your starting point, the engagement follows the same six steps.

    The process

    Six steps from analysis to working system

    01

    Intake & reality check

    We analyze how your lifecycle actually works today.

    Current lifecycle stages (from subscriber to customer)
    How stages are assigned and updated
    What criteria determine if someone is an MQL, SQL or opportunity
    How stages are used in practice vs. how they're intended

    No assumptions. Only real usage.

    02

    Identifying friction

    We identify where your lifecycle breaks.

    Where do leads flow through without qualification?
    Where are stages skipped or incorrectly assigned?
    Where are definitions interpreted differently?
    Where does system data diverge from reality?

    We group patterns and isolate the transitions with the most impact.

    03

    Gap analysis

    We compare how it's intended with how it actually works — and which tools become redundant.

    Intended

    Intended lifecycle

    Actual

    Actual behavior in the system

    Per transition we assess

    Process gaps
    Decision gaps
    Data gaps

    Tools likely to become redundant

    Once criteria sit in one place, side tools lose their reason to exist.

    • Standalone spreadsheets for pipeline and forecast
    • Separate trackers for lead status or handovers
    • Email or Slack workarounds to track stages
    • Overlapping tools solving the same problem

    Implicit decision logic becomes visible — and your tooling lighter.

    04

    Stage design

    We rebuild the lifecycle as a logical system.

    Reduce to a necessary number of stages
    Clear definition per stage
    Explicit entry and exit criteria

    Process design

    Who acts, when, in what order.

    Decision rules

    Objective criteria for transition.

    Data ownership

    Required data, source, ownership.

    No grey areas.

    05

    Implementation in your commercial system

    Rules are translated into the system.

    Required fields before a stage can change
    Validations on stage transitions
    Automated workflows on qualification or disqualification
    Notifications when criteria are not met

    The system enforces the lifecycle instead of just recording it.

    06

    Testing & monitoring

    Every transition is tested. We structurally monitor:

    How many records are in the wrong stage
    How often stage transitions happen without justification
    Number of manual overrides per week
    Difference between expected and actual conversion per stage

    Rules are adjusted where necessary.

    Ready to start?

    Schedule a free introductory call. We'll discuss your situation and determine together if and how we can help.