Visibility and reporting

    Create visibility around the workflows that matter most

    Dashboard and Reporting Setup is for businesses that already have activity happening but cannot see it clearly. Legion Algo Labs helps turn fragmented workflow data into a more useful reporting layer with defined KPIs and cleaner follow-up visibility.

    Typical starter range: NZD 1,000 to NZD 3,000 depending on data-source and reporting complexity.

    Service focus

    Dashboard / Reporting Setup

    This page is designed to explain the fit, the likely scope, and the general pricing shape before a project is scoped properly.

    A clearer view of what is coming in, what needs follow-up, and what the business should actually be looking at.

    Typical pricing

    Typical starter range: NZD 1,000 to NZD 3,000 depending on data-source and reporting complexity.

    Typical timeline

    Typical starter delivery window: 1 to 3 weeks depending on source availability and KPI complexity.

    Best next step

    Bring the reporting blind spots that are slowing decisions down. We scope one clear visibility layer first, then expand only if useful.

    Who this is for

    • founders checking multiple tools manually
    • teams with weak visibility around requests and workload
    • businesses that need better reporting before scaling further

    What it solves

    • unclear pipeline visibility
    • weak follow-up reporting
    • manual summary work
    • unclear workload and status reporting
    • poor KPI visibility

    What gets built

    • one reporting layer or KPI view
    • source mapping and reporting logic
    • summary or dashboard structure
    • testing and review
    • usage notes and handover guidance

    What is usually not included

    • full data-warehouse architecture or heavy BI engineering
    • large multi-team analytics rebuilds in a starter package
    • ongoing analyst support
    • source cleanup work that belongs in a separate ops project

    Good fit examples

    • lead pipeline visibility
    • support workload reporting
    • intake request summaries
    • manual review queue tracking
    • weekly operations reporting

    Delivery path

    How the work usually runs

    Projects are kept narrow enough to stay useful, clear, and easier to implement properly.

    1

    Step 1

    reporting discovery and KPI definition

    2

    Step 2

    source and logic mapping

    3

    Step 3

    build and review

    4

    Step 4

    testing and refinement

    5

    Step 5

    handover and next-step recommendations

    Want to see whether this is the right fit?

    The easiest next step is a short consultation. We can look at the workflow, clarify the fit, and decide whether this should stay a focused starter project or move into a larger scope.

    If the fit is right, the next step is a scoped proposal with clear deliverables, rough pricing, and a delivery path you can actually review before saying yes.