Product Optimisation
Optimising your products is critical to maintain or accelerate your competitive advantage.
Our Product Optimisation frameworks are purposefully created to test the highest risk and reward hypotheses, formulate experiments that convert, and measure the results in real-time - ensuring we optimise the products your customers love and use every day.
Explore our Product Optimisation frameworks
- Delivered in 1 sprint
- 15 core recommendations made
- Experimentation-ready in 3 sprints
- Delivered in 1 sprint
- 15 core recommendations made
- Experimentation-ready in 3 sprints
- Delivered in 1 sprint
- 15 core recommendations made
- Experimentation-ready in 3 sprints
- Delivered in 1 sprint
- 15 core recommendations made
- Experimentation-ready in 3 sprints
Readiness
Assessment 🔍
Analyse your organisation’s position to experiment with digital products and the changes required to do so.
- 41 experiment candidates identified
- 128 events IDs created for tracking
- Delivered in 1 sprint
- 41 experiment candidates identified
- 128 events IDs created for tracking
- Delivered in 1 sprint
- 41 experiment candidates identified
- 128 events IDs created for tracking
- Delivered in 1 sprint
- 41 experiment candidates identified
- 128 events IDs created for tracking
- Delivered in 1 sprint
Experience
Review🚦
A digital product and service health check that reveals an actionable backlog of experiment recommendations.
- MoM conversion rate of 6.9%
- LFL quarterly revenue of £265K
- Measurement period of 6 sprints
- MoM conversion rate of 6.9%
- LFL quarterly revenue of £265K
- Measurement period of 6 sprints
- MoM conversion rate of 6.9%
- LFL quarterly revenue of £265K
- Measurement period of 6 sprints
- MoM conversion rate of 6.9%
- LFL quarterly revenue of £265K
- Measurement period of 6 sprints
Experiment
Sprints 🧪
Test hypotheses, validate multi-variate solutions, and drive key metrics through experimentation at scale.
Clients love using our
Product Optimisation frameworks
- MoM conversion rate of 6.9%
- LFL quarterly revenue of £265K
- MoM conversion rate of 6.9%
- LFL quarterly revenue of £265K
- MoM conversion rate of 6.9%
- LFL quarterly revenue of £265K
- MoM conversion rate of 6.9%
- LFL quarterly revenue of £265K
Hafele UK
Profitability through continual optimisation
- 41 experiment candidates identified
- 128 events IDs created for tracking
- Delivered in 2-weeks
- 41 experiment candidates identified
- 128 events IDs created for tracking
- Delivered in 2-weeks
- 41 experiment candidates identified
- 128 events IDs created for tracking
- Delivered in 2-weeks
- 41 experiment candidates identified
- 128 events IDs created for tracking
- Delivered in 2-weeks
Blinds2Go
Experiment backlog identification
- 41 defects uncovered
- 14 opportunities identified
- Delivered in 1 sprint
- 41 defects uncovered
- 14 opportunities identified
- Delivered in 1 sprint
- 41 defects uncovered
- 14 opportunities identified
- Delivered in 1 sprint
- 41 defects uncovered
- 14 opportunities identified
- Delivered in 1 sprint
Missguided
Qualifying a product backlog for action
- 11 experiments executed
- Conducted over 12 sprints
- Measurement period of 6 sprints
- 11 experiments executed
- Conducted over 12 sprints
- Measurement period of 6 sprints
- 11 experiments executed
- Conducted over 12 sprints
- Measurement period of 6 sprints
- 11 experiments executed
- Conducted over 12 sprints
- Measurement period of 6 sprints
Blinds2Go
Multi-site experiments for a category leader
Frequently asked questions about our
Product Optimisation frameworks
