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Cancellation and waiting-list recovery

:::tip Part of the Appointment & Capacity Platform This idea is one capability within the Appointment & Capacity Platform product family. The family page carries the full product concept, the multi-stage operational workflow, an animated architecture diagram, a before/after comparison and a clickable demo. This page keeps only the idea-specific detail. :::

1. One-sentence proposition​

Appointment businesses lose time-limited capacity when customers cancel. Match a cancelled slot to eligible waiting customers, send controlled offers, update the existing calendar, and measure recovered revenue.

2. Customer problem​

This idea addresses a recurring operational problem where time, revenue, capacity, quality, trust, or management attention is lost. The exact severity and willingness to pay must be validated with real buyers in the selected vertical.

3. Target customer and buyer​

Start with one specific customer type inside Appointment and Capacity Businesses. Define the size, current tools, decision-maker, workflow owner, geography, and frequency of the problem before building.

:::note Buyer role Not assessed — identify the specific decision-maker and budget owner during discovery. :::

4. Realistic example​

A salon loses a 90-minute colouring appointment; the system offers it to customers waiting for that service and records the recovered booking value.

5. Visual workflow​

Proposed workflow
Text alternative (accessible description)
  1. Match eligible customers leads to Send controlled offer.
  2. Send controlled offer leads to Accepted?.
  3. Accepted? — if Yes — leads to Update booking.
  4. Accepted? — if No — leads to Offer next customer.
  5. Update booking leads to Measure recovered value.

6. Core capabilities​

  • Capture the trigger and relevant context.
  • Validate required fields and permissions.
  • Record an audit trail and measurable outcome.

7. AI components​

Default separation for this workflow — confirm per customer.

  • Use AI only for ambiguous language, classification, extraction, summarization, or translation.

8. Deterministic components​

  • Use deterministic rules and authoritative system data for prices, compatibility, policy, safety, deadlines, and final transactions.

9. Human approval points​

  • Keep human approval for consequential, regulated, financial, safety-relevant, or customer-sensitive decisions.

10. Simplest MVP​

Implement one trigger, one user role, one workflow, one integration, and one measurable result. A concierge or clickable prototype is preferable before a general platform.

11. 30-day validation experiment​

  1. Interview 5-10 organizations of one type.
  2. Quantify frequency, current cost, delay, lost revenue, error, and workarounds.
  3. Show a one-page workflow and clickable mock-up.
  4. Request representative synthetic or anonymized examples.
  5. Ask for a fixed-scope paid pilot or a written design-partner commitment.

12. Success evidence​

  • Buyer provides real workflow details and representative data.
  • A decision-maker participates.
  • The outcome can be measured within 2-6 weeks.
  • At least one organization pays or begins a credible procurement step.
  • The next customer can use at least 60% of the same workflow.

13. Risks and constraints​

  • Existing software may already solve the problem.
  • Integration and data quality may dominate the effort.
  • The apparent user may not control budget.
  • Support requirements may destroy margin.
  • Privacy, sector rules, liability, accessibility, and human oversight must be checked for the intended market.

14. Business-model hypotheses​

:::caution Pricing is a hypothesis Any prices or models below are untested hypotheses, not quotes or market facts. :::

Possible starting models include a paid assessment, setup fee, fixed pilot, monthly subscription, annual support, per-location pricing, or a productized managed service. Pricing is a hypothesis until tested.

15. Productization path​

Paid discovery -> bounded pilot -> repeated implementation -> standardized onboarding and integrations -> recurring support -> configurable product.

16. Related ideas & shared guidance​

Shared guidance (Playbook). The generic principles — discovery, validation, pilots, AI-vs-deterministic split, human approval and pricing — live once in the Playbook so this page can stay idea-specific:

Clickable demo available. A synthetic demonstration of Cancellation recovery — not a production system.

▶ Open the Cancellation recovery demo

18. Notes & evidence​

:::info No customer evidence recorded yet This is a private working page. Record interview notes, quotes, objections and any paid-pilot signals here as you validate. Nothing on this page has been market-validated. :::