Insurance

Insight-Led Optimisation for a Disruptive InsurTech MVP

I joined Locket during the early growth of their home insurance MVP to establish user insight and behavioural analytics practices. By embedding feedback loops and surfacing friction points, I enabled smarter prioritisation and iterative optimisation ahead of Series A.
Employer
  • Locket Insurance
Role
  • Product Manager
Tenure
  • Nov 2021 – Dec 2021
Focus
  • MVP Optimisation & Analytics Foundations
Systems
  • iOS, Hotjar, Google Analytics
Latest posts
A tired woman in her early forties lies in bed at night, lit only by the glow of her phone as she scrolls, her expression distant and drained.

We’ve Automated Belief — and Lost Trust

A tired office worker sits late at night, resting his head on one hand as the unseen screen in front of him casts a cold blue light across his face.

The Politics of Productivity: Balancing Motion and Momentum

A tired woman sits alone at her desk in a dimly lit office, face illuminated by a computer monitor’s glow with red light in the background.

The Loyalty Loop: How Systems Use Belonging to Blind Us

A male office professional sits at his desk surrounded by glowing data dashboards, resting his head on his hand in quiet frustration as he stares at the screen.

Progress as a Product: Rethinking Digital Transformation

Problem

Locket’s MVP was live, but lacked the infrastructure to understand user behaviour. No feedback loops, no analytics beyond the basics — which meant onboarding and quote journeys risked stalling growth.

Approach

  • Embedded Hotjar & Google Analytics to monitor behaviour across key journeys.
  • Mapped friction points in onboarding and quote flows to identify hypotheses.
  • Introduced lightweight product rituals to surface insights and prioritise experiments.

Outcome

  • Improved decision-making: roadmap refinements driven by early-stage user data.
  • Faster prioritisation: behavioural patterns highlighted where to optimise first.
  • Foundation for growth: insight artefacts handed over to inform Series A scaling.