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Task 287 · Group 14

Ecosystem Gap Heatmap

Ecosystem Gap Heatmap helps the founder or programme team critically review pipeline gaps by stage, sector, region and support need. Within Public Agency & Ecosystem Infrastructure, it turns a broad or uncertain area of the venture into a concrete Bertie work product that can be reviewed, improved and reused. The task is intentionally discrete: it should produce a specific artefact, decision, evidence item or risk signal rather than general learning notes.

Objective

Critically test the quality, consistency and readiness of Ecosystem Gap Heatmap. The objective is to remove ambiguity around pipeline gaps by stage, sector, region and support need, give the founder a decision-ready output, and make it clear whether the venture should progress, repeat the task with stronger evidence, escalate to expert support, or move into a linked stage.

When this task is assigned

Bertie or a programme manager assigns Ecosystem Gap Heatmap when the venture needs a decision-ready output for this group. Typical triggers include group-gate reviews, evidence gaps identified by the co-pilot or founder request.

Dependencies & prerequisites

ecosystem objective; programme inventory; founder intake data; partner network; reporting requirements; existing artefact to review; specific context for pipeline gaps by stage, sector, region and support need.

Actions in this task
6 actions
  1. Collect existing pipeline metadata, regional ecosystem mapping reports, and support delivery logs across target sectors and growth stages. Consolidate these inputs into a structured matrix to establish a baseline view of current venture activity.

    Objective

    Compiling these disparate datasets creates a single reference asset for ecosystem evaluation. This ensures subsequent gap analyses rely on empirical pipeline inputs rather than anecdotal impressions of regional capacity.

    What's expected

    The founder must present a multi-dimensional data matrix detailing venture volumes, stage distribution, and recorded support interventions across specified regions. All data sources must be logged with collection dates, sample sizes, and underlying methodology.

    Consultant stress-test · 5 questions
    1. 1.What primary data sources substantiate this initial pipeline consolidation, and how recently were they refreshed?
    2. 2.How have you accounted for unreported or informal startup activity outside public support channels?
    3. 3.Why did you select these specific categorisation criteria for maturity stages across different sectors?
    4. 4.Where are the obvious missing data points in your current baseline matrix?
    5. 5.How does this aggregated dataset compare with historical public agency benchmarks for the region?
    Open action arrow_forward
Expected outputs
  • A data-room asset titled Ecosystem Gap Heatmap
  • A review note with a verdict, evidence gaps, risks, recommended corrections and a clear continue / repeat / escalate decision
  • It should update the venture DNA with specific evidence or decisions about pipeline gaps by stage, sector, region and support need, create a visible milestone in the founder journey, and generate one or more recommended next tasks
AI co-pilot support

Bertie co-pilot analyses intake, routing, eligibility, programme and ecosystem data, then recommends support pathways and management interventions. For this task, it should focus on pipeline gaps by stage, sector, region and support need, prompt the founder for missing inputs, draft or improve the output, flag weak assumptions, and record the result back into the relevant data-room section.

Advisor / human support

A mentor or evaluator can review the output at the group gate. Programme managers can require an advisor checkpoint before Bertie moves the venture forward.

scienceTry the loop: co-pilot simulation

Draft your output and let Bertie review it