Foresight imports your existing stakeholder map once, turns it into a living data model, and uses that single source of truth to power brand, engagement and measurement, all pointed at the one outcome that matters: getting more people active.
Most places already hold a stakeholder map in a tool like Kumu. It is a drawing: useful to look at, impossible to compute on. Foresight takes that same export and does two things with it.
Every node and connection is preserved, deduplicated and cleaned. This is a neutral interchange layer. Your data comes in from Kumu and can go back out to anything. It lives in your platform now, not a subscription.
The graph is projected into stakeholders, relationships, wards and cohorts, with influence, interest and capacity derived from the network structure. Every module in Foresight reads from this one model and writes its changes back to it.
The import is the foundation. Everything else is what you build on top. Each step reads the graph and writes a change back to it, so the work compounds instead of scattering across tools.
Any Kumu export becomes a clean, deduplicated graph inside Foresight. For Barking & Dagenham that is 94 organisations and 1,355 connections, who reaches whom, in which ward, for which cohort.
The system computes what the map cannot show you on its own: cohort coverage gaps, cold wards, the brokers whose single relationship unlocks the most reach, and a prioritised outreach queue of high-influence organisations with no engagement on record.
The graph tells you whose voice actually carries. Route campaigns through high-reach community brokers, not only council channels, and aim the message at the cohorts the coverage analysis shows are under-served.
The graph is a CRM with a built-in priority order. Every meeting or returned survey flips a node from no engagement, to prior, to engaged. Engagement stops being activity you report and becomes a change you can see.
Because every node holds a cohort, a ward, a status and a derived influence, your KPIs are network metrics: coverage rising, cold wards warming, statuses climbing, new relationships forming. Read the graph at two points in time and the movement is the proof.
Join ward coverage to the ward inactivity rate and the theory of change becomes literal: this cold ward, activated through that broker, reaching that cohort, moved this number. Measurement then re-prioritises the graph, and the loop closes.
None of this was typed in by hand. It is calculated from the structure of the imported graph, the kind of insight you would otherwise pay an analyst weeks to assemble.
Organisations reaching each priority cohort. The imbalance is the inactivity problem stated as a fact: the easy cohort is over-served, the hardest to reach are not.
Ranked by betweenness centrality. The organisations bridging the most paths across the network. Lose one and the place fragments. Your highest-leverage partners.
Alibon, Whalebone and Gascoigne are the thinnest-covered wards, so that is where to put activity. And 44 of 94 organisations have no engagement on record, some of them high-reach. That intersection is an automatically-prioritised call sheet.
One workspace replaces four. Kumu for the map, a CRM for engagement, a spreadsheet for measurement and an analyst to rate influence by hand. Foresight does all four from the same graph.
The data is yours. Imported once, owned outright, exportable to any format. No more renting a view of your own place.
It travels.The importer reads any Active Partnership's export, not just Barking & Dagenham. Map one place, and the same engine serves the next, and the next.
Figures on this page are computed from the live Barking & Dagenham import (94 organisations, 1,355 connections). A practice from Movement Systems, built by Goodthing · Privacy & data