Appvectorbase

Our process

Turn behaviour into a useful quality signal.

A four-part working process that keeps analytics close to user intent and product decisions.

01

Frame

Start with the decision.

We clarify the journey, audience and business question before opening a dashboard. This prevents interesting data from distracting the team from useful evidence.

  • Decision and stakeholder interviews
  • Journey and segment selection
  • Data readiness check
02

Define

Describe a quality session.

Together, we define what progress, avoidable effort, recovery and success look like for this specific experience. The model adapts to your app; it is not an imported score.

  • Intent and progress markers
  • Friction taxonomy
  • Quality measurement framework
03

Investigate

Connect patterns to context.

Quantitative patterns identify where to look. Session evidence, journey detail and careful segmentation help explain why the pattern may be happening.

  • Journey and cohort analysis
  • Replay or qualitative sampling
  • Device and Malaysian market context
04

Act

Leave with priorities.

Findings become an evidence-backed opportunity map. Your team receives the rationale, measurement baseline and clear next questions—not a presentation that disappears into a folder.

  • Prioritised opportunity map
  • Working readout
  • Follow-up measurement plan

Bring a journey

Which part of your app feels harder than it should?

Share the experience you want to understand and the decision in front of your team.

Discuss an investigation