RSA Music Evolution | Kabelo Makua

Problem Music trend signals were fragmented across genres and periods, making it hard to see evolution clearly.

Focus I structured a single interactive report to compare eras, transitions, and ranking patterns.

Outcome The report made major shifts in listening behavior easier to explore and communicate.

// analyst.signals

Trend interpretation Interactive reporting Narrative analytics

Overview

RSA Music Evolution is an interactive analytics narrative that tracks shifts in South African listening behavior from 2021 to 2026.

Hero

Interactive story of South African listening trends and genre evolution from 2021 to 2026.

Intelligence Layer

Music trend conversations are often driven by isolated charts or platform snapshots. That makes it hard to see how audience behavior actually evolves over time, especially across genres.

Problem

There was no single view that connected era-level movement, ranking volatility, and genre transition patterns into one coherent story.

Data / Signals

Analyst Objective

Build a readable, interactive analysis that helps users:

understand what changed between eras,
see where momentum accelerated or slowed,
and interpret genre transitions in context.

Stakeholders

Content and culture teams needing a clear trend narrative.
Strategy and marketing teams looking for signals on audience direction.
Portfolio reviewers assessing data storytelling and insight communication quality.

Key Questions

Which genre families gained or lost momentum most clearly across 2021-2026?
Were shifts gradual, or did they happen through sharp transition periods?
Which patterns were persistent versus temporary spikes?
How can these patterns be communicated in a way non-technical audiences can quickly use?

KPI / Signal Framework

Position and movement in ranking views.
Period-over-period directional change.
Transition intensity between eras.
Concentration versus spread across genre archetypes.

These were chosen to balance interpretability with narrative value.

Insight

Consolidated the analysis into a single-page interactive report.
Structured sections by analytical intent (era story, rankings, transitions, archetypes, score breakdown).
Used Chart.js visual layers to support comparison and trend legibility.
Applied a consistent storytelling sequence from context to evidence to interpretation.

Implication

Genre movement was not linear; transition periods created clear inflection points.
Some headline trends were driven by concentrated bursts rather than sustained growth.
Structured narrative ordering improved interpretation speed versus standalone charts.

Closing

Deliverables

Interactive web report hosted under portfolio projects.
Multi-section analytics narrative with ranking and transition views.
Reusable structure for future music-intelligence updates.

Outcome

The project made a complex multi-year trend story easier to read and compare, improving the clarity of insight communication for non-technical audiences.