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Gustavo Ravagnani

02Porto2025

Chance of Success

From lead temperature to a broker decision system

Chance of Success — project cover

From

How many fire levels should we show?

To

What signal helps a broker decide which opportunity deserves attention first?

Role
Lead designer on the initiative
Scope
Problem framing, opportunity card experience, states, ordering, tracking requirements
Team
Product, Analytics, Engineering, business stakeholders, Design coordination
Period
September 2025 — present

Current state

Direction approved. Implementation has not started.

Context, problem and intervention

Context

GDO is Porto's opportunity-management product for insurance brokers. Brokers work from a list of commercial opportunities, where a three-level “fire” indicator was used to signal which opportunities deserved attention. The initial request was to expand that indicator from three to five levels.

Problem

Brokers had no trustworthy reason for deciding which opportunity to handle first. The fire indicator carried no documented logic, and adding levels to it would have made the same undefined signal more granular.

Intervention

I reframed the initiative from an icon change to a prioritization problem, defined the decision model with Product, Analytics and Engineering, and designed the card experience, its states and its measurement plan.

Decisions

Three decisions, with the evidence behind each and what it produced.

Decision 01

Treat the indicator as a decision aid, not a decoration

The initiative arrived as a visual refinement: three fire levels to five. Same mechanic, more granularity.

Evidence
Existing qualitative evidence did not describe a granularity complaint. It described brokers lacking a defensible reason to choose one opportunity over another.
Decision
Replace the temperature metaphor with Chance of Success — a prioritization signal built from available relationship, behavioral and product-context signals.
Trade-off
A new mental model costs more to explain and to build than two extra icon states.
Consequence
The feature moved from decoration to an explicit prioritization aid connected to broker behavior and to outcomes the team can observe.
Decision 02

Design the insufficient-data state before the confident one

Signal coverage varies. A meaningful share of opportunities would not have enough history to be scored.

Evidence
Any default score for thin data manufactures confidence the product cannot justify, and the first broker to notice it stops trusting every other score.
Decision
Specify an explicit insufficient-data state with its own copy and behavior, and forbid silent fallbacks to a neutral or optimistic value.
Trade-off
Visible gaps look less polished than a list where every row carries a score.
Consequence
Honesty became a property of the model rather than a caveat in the documentation, and the state is part of the tracking plan.
Decision 03

Attach ordering and measurement before attaching a sprint

A signal that only paints a card leaves entry order dominant, and nothing in the list would change.

Evidence
The value of a prioritization signal depends on the broker being able to act on it and on the team being able to see whether they did.
Decision
Include filtering or simple ordering in the proposal, and define the measurement plan with Analytics: service started, filter or ordering used, opportunity progressed, opportunity converted, SLA met or missed, insufficient-data state displayed.
Trade-off
Scope grew beyond the card, which made the first release larger to negotiate.
Consequence
The direction was approved by the PM, a business stakeholder and Design coordination with a defined way to judge it after release.

Evidence

Reserved slots for the project artifacts.

Constraints and trade-offs

  • Honest — insufficient data must never produce artificial confidence or priority.
  • Feasible — the first direction reuses the current list structure and available signals.
  • Evolvable — initial rules may not match observed outcomes, so bands are compared against progression and conversion after release and refined.
  • Generalized — internal scoring logic, weights and commercial criteria stay out of this write-up by design.

Outcome

The concept was evaluated through interviews and a concept presentation with eight brokers, focused on the clarity of the mental model, its usefulness for prioritization and confidence in the card-level signal. The direction was consistently well received and required no structural change.

What this case carries is product framing, cross-functional definition, user evaluation and implementation readiness.

Delivered

  • Approved direction, signed off by the PM, a business stakeholder and Design coordination.
  • Card experience, state system, microcopy and insufficient-data behavior.
  • Concept evaluation with eight partner brokers.
  • Tracking requirements, Jira items and acceptance criteria.

Not measured

  • Production adoption — implementation has not started.
  • Commercial impact or change in broker behavior.
  • Accuracy of the initial rule-based classification against real outcomes.

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