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01Product concept · Parametric insurance

Reselio

A parametric income-protection concept for delivery partners affected by extreme weather, designed around transparent rules and faster decisions.

01

Problem & context

How might delivery partners receive income support when extreme weather makes it unsafe or impossible to work?

Delivery partners can lose working hours when severe weather interrupts local operations. Reselio explored whether objective weather data and predefined thresholds could support a simpler income-protection decision than an individual loss investigation.

Constraints

  • The trigger must be objective, independently measurable, and easy to explain.
  • Eligibility still has to be checked even when the event trigger is automatic.
  • Basis risk, fraud controls, affordability, and seasonal exposure still require testing in a real pilot.

Selected artefact

Make the operating logic visible.

This visual is a reconstructed explanation based on the project information available in the repository. It is not an original client deliverable or product screenshot.

02

Approach

A practical sequence, not a grand framework.

01

Define the interruption

Start with the external event that could prevent work, then identify a suitable independent data source.

02

Create a visible rule

Connect independent weather data to a predefined threshold so users understand what activates the cover.

03

Test the payout path

Separate event detection, eligibility validation, and payout initiation to expose operational and fraud risks.

Decision logic

Show the decision, not just the output.

The work is easier to assess when a visitor can see what inputs matter, where judgement is required, and what the model does not yet prove.

03

Key decisions

Choices that shaped the work.

Objective signal

Use an independent event measure rather than asking each worker to prove the same disruption separately.

Pre-agreed rule

Make the trigger visible up front so the user can understand what will and will not lead to a payout.

Pilot before claims

Treat premium, benefit, seasonal cap, and basis-risk assumptions as inputs to validate, not proven economics.

04

Outcome & lessons

What the project currently demonstrates.

The project produced a public, sanitised model covering trigger logic, eligibility, payout flow, risk questions, and a pilot recommendation. Selected commercial details have been omitted.

Lessons carried forward

  1. 01

    A parametric product is only as clear as its data source and trigger rule.

  2. 02

    Fast decisions still require careful separation between an event and a covered person.

  3. 03

    Explaining exclusions and edge cases is part of the product, not a legal afterthought.