📊 Full opportunity report: From Intake To Follow-Up: Managing A Restorative Justice Caseload on IdeaNavigator AI — validation score, market gap, and execution plan.
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TL;DR
An IdeaNavigator AI proposal outlines a case pipeline for restorative justice programs, tracking referrals from intake through consent, circle scheduling and agreement completion. The concept has not been validated: a proposed test would involve four coordinators and their next 10 live referrals each.
IdeaNavigator AI has proposed a case-management workflow for restorative justice programs, designed to track each referral from intake through consent, circle scheduling and completion of agreements. The proposal targets coordinators who currently use spreadsheets and aims to make stalled or overdue cases easier to identify; no pilot results or product launch are reported.
The IdeaNavigator AI proposal describes a minimum viable product that would follow a single case through four stages: intake, consent capture, circle scheduling and agreement-completion tracking. It proposes a status view to flag overdue cases. The intended user is a case coordinator at a restorative justice program, responsible for managing referrals and monitoring progress among participants.
The proposal describes fragmented tracking as the problem. Coordinators may use spreadsheets to record referrals, consent from victims and responsible parties, meeting schedules and agreement terms. It says that arrangement can make it harder to see which cases have stalled or may be out of compliance. These are claims in the proposal, not findings from a published evaluation.
IdeaNavigator AI suggests testing the workflow before building a full product: recruit four restorative justice coordinators and use a manual pipeline board to manage each coordinator’s next 10 live referrals. The proposed test would include consent and completion fields and measure whether clearer visibility into overdue cases is valuable enough for programs to pay for. The suggested business model is an annual subscription paid by each program; the proposal provides no pricing or evidence of demand.
Tracking Cases Beyond Intake
Restorative justice programs coordinate a sequence of steps that can involve multiple participants, scheduled meetings and agreed follow-up. A referral is not necessarily complete when it is accepted: consent must be recorded, a circle or other meeting may need to be arranged, and any resulting agreement may require monitoring. The IdeaNavigator AI proposal argues that a shared case status could help coordinators identify where follow-up is needed and make routine reporting less dependent on manually reconciling separate records.
The potential value is operational rather than proven. If coordinators cannot readily identify stalled cases, participants may wait longer for the next step and staff may spend more time updating records. But the proposal does not quantify delays, administrative hours, missed obligations or outcomes for participants. Whether the workflow improves practice or saves enough time to justify a subscription remains an open question; the proposal’s suggested test focuses on overdue-case visibility and willingness to pay.
The proposal also raises questions about sensitive information. Consent records and agreement details can be personal and consequential. Any real system would need appropriate access controls, data handling rules and a clear account of who can view or change case information. The proposal does not specify those safeguards, so they should not be assumed to be in place.
restorative justice case management software
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A Spreadsheet-Based Starting Point
The IdeaNavigator AI concept is aimed at restorative justice program administration, not at deciding whether a case is suitable for a program or determining an outcome. Its proposed initial scope follows the administrative path after a referral: record the case, document consent, schedule a circle and track whether agreements are completed.
The proposal frames the timing around an asserted increase in referrals from courts and schools, alongside growing reporting demands. It provides no figures, locations, time period or independent evidence for that trend. The claim should therefore be treated as the rationale offered by IdeaNavigator AI for the idea, rather than a measured account of caseload growth across restorative justice programs.
Rather than asking programs to adopt a finished software product, IdeaNavigator AI suggests starting with a manual pipeline board. That approach could test whether a common status view fits coordinators’ work before substantial product development. It would not, by itself, establish that a software version is secure, integrates with existing systems or works across different program models.
referral tracking spreadsheet template
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Pilot Results and Safeguards
IdeaNavigator AI’s proposal describes no completed test, customer commitment or software release. It does not report that the proposed exercise is underway, and provides no results showing whether coordinators found the board useful or whether organizations would pay an annual fee. Measures beyond improved overdue-case visibility are also unspecified.
Several practical questions remain open: how overdue status would be defined, whether programs could adapt stages to their procedures, how consent and agreement records would be protected, and how the workflow would handle cases that pause or end without an agreement. The proposal also gives no pricing, timeline, implementation plan or estimate of the number of programs that might use such a tool.
The proposal’s claim that court and school referrals are increasing is not accompanied by supporting data. It is not clear how widely spreadsheet-based tracking is used, or whether the problems described apply across programs. Until those points are tested, the concept is best understood as a proposed administrative workflow rather than an established solution.
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Testing the Manual Case Board
IdeaNavigator AI’s proposal outlines a next step of recruiting four restorative justice coordinators and tracking their next 10 live referrals each using a manual board with consent and completion fields. The proposed test is intended to establish whether coordinators gain clearer visibility into overdue cases and whether that benefit is strong enough to support a paid subscription.
The proposal announces no dates, participating programs or results. If the test proceeds, useful evidence would include how consistently cases can be tracked, whether coordinators identify delays earlier, what extra work the board creates and what privacy or workflow needs emerge. A decision to build software, as well as any pricing or launch timing, remains unconfirmed.
Source: IdeaNavigator AI proposal
meeting scheduling for restorative justice
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Key Questions
What is being proposed?
A case pipeline for restorative justice programs that tracks referrals through intake, consent, circle scheduling and completion of agreements, with a view of overdue cases.
Is the workflow already available as software?
No launch or finished software product is reported. The proposal recommends testing the process first with a manual pipeline board.
How would the proposed test work?
It would recruit four coordinators and track each person’s next 10 live referrals, using consent and completion fields. The stated measure is whether overdue-case visibility improves enough to justify payment.
How would the product make money?
The suggested model is an annual subscription paid by the program. No price or evidence of customer willingness to pay is provided.
What is still unknown?
There are no reported pilot results, confirmed customers, launch dates or pricing. Data protection, workflow customization and the scale of the spreadsheet-tracking problem also remain unspecified.
Source: IdeaNavigator AI
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