Social Media Management

Social Media Management

ux research

ui design

product designer

client

kingHost

role

Product Designer

DURATION

4 sprints

Tools

Figma, Miro, Clarity & Forms

How I reduced churn by 5% and incidents by 31% through data-driven UX improvements

ABOUT

ABOUT

The challenge

The Social Media Manager faced a critical scenario: despite a strong volume of new customers (bookings), churn rates were high and consistently increasing. There was no clear understanding of why users were leaving, as the product lacked structured feedback collection at the moment of cancellation and did not have robust behavioral analytics tools in place.


Additionally, the interface was outdated, with inconsistent visual patterns and unintuitive flows, increasing user friction.
The main challenge was to understand the root causes of churn and identify opportunities to improve the experience, increase retention, and enhance perceived value.

DISCOVER

DISCOVER

Researching

Research project

To move beyond assumptions and understand the rising churn rates, I initiated a structured UX Research project. The goal was to transform technical debt and user frustration into actionable insights for retention.

I began by defining a clear research framework to ensure every effort contributed to a holistic understanding of the problem:

  • General objective: How might we identify the root causes of increasing churn and uncover strategic opportunities to enhance user retention and value?

  • Specific objectives:

Exploratory

To discover the primary pain points and motivations behind user cancellations.

To discover the primary pain points and motivations behind user cancellations.

Descriptive

To map current behavioral patterns, identifying where friction occurs in the social media connection and onboarding flows.

To map current behavioral patterns, identifying where friction occurs in the social media connection and onboarding flows.

Explanatory

To determine how the outdated interface and unintuitive flows correlate with low feature engagement and user drop-off.

To determine how the outdated interface and unintuitive flows correlate with low feature engagement and user drop-off.

CSD Matrix

Before diving into data collection, I used a CSD Matrix (Certainties, Suppositions, and Doubts) to align existing knowledge and prioritize our investigation fronts.

Investigation fronts

With the research goals and matrix established, I conducted a deep dive across four complementary fronts:

  1. Direct feedback collection: We implemented a cancellation modal to capture the "why" behind the churn;

  2. Behavioral analysis: Using Microsoft Clarity, I analyzed session recordings and heatmaps to observe real-world usage;

  3. User journey mapping: I mapped the "As-Is" user journey. This allowed me to visualize the emotional state of the user and pinpoint the exact moments of friction that led to churn.

  4. Market benchmarking: I conducted a competitive analysis of 8 platforms to evaluate their onboarding and visual quality.

User journey mapping

Benchmarking

define

define

Insights and Opportunities

Connecting the dots

While the cancellation survey was running, I focused on building a deeper understanding of user friction by combining behavioral data, journey mapping, and market analysis.

By triangulating these sources, I was able to move beyond isolated signals and identify consistent patterns in user behavior.

The user journey mapping, combined with benchmarking insights, revealed a critical misalignment in the early experience, where a significant percentage of users dropped off before even testing the platform’s main functionality: they never completed the initial step of integrating their social media accounts.

Session recordings in Microsoft Clarity reinforced this finding, showing hesitation, confusion, and abandonment during the onboarding phase.

At the same time, the competitive analysis showed that other platforms were much more effective in guiding users toward this activation step, both through clearer flows and stronger visual cues.

The core issue was not feature quality or lack of functionality: it was a failure to drive activation. Users were churning not because the product didn’t deliver value, but because they never reached the moment where that value becomes clear.

Opportunities defined

Based on these insights, I identified key opportunity areas to improve activation and reduce churn:

  1. Guide users toward the “aha moment” faster
    Redesign the onboarding experience to prioritize social media integration as the first and most obvious action.

  2. Reduce friction in the initial setup
    Simplify the integration process and remove unnecessary steps or cognitive load.

  3. Align onboarding with user expectations
    Bridge the gap between what users expect upon entry and what the product requires from them.

Challenge

Before jumping into ideation, I’d like you to experience the product from a new user’s perspective.

This was the very first screen users saw after entering the platform:

Now, a simple question:

Where would you click to add a social media account?

Take a moment to look at the interface.

Develop

Develop

Ideation

I led ideation sessions with Product and Engineering, prioritizing high-impact, low-complexity solutions.

MVP

I redefined connecting a social media account as the primary goal of the onboarding experience.

  • Prioritized social media integration as the first and most prominent action

  • Reduced competing elements that could distract users

  • Structured the flow to make the next step immediately clear

DELIVER

DELIVER

Implementation

High-fidelity prototype

The prototype construction process was easier with the wireframes, but I needed to make some important modifications based on what was discovered in the previous processes.

You can see the desktop version of the prototype below.

Final layout

After the meeting I've made a few improvements to the layout to make sure we would implement an MVP that met the user and business needs.

Here’s a few screenshots of the final version:

conclusion

conclusion

Next steps

  • Track usage metrics through GA and Clarity

  • Define and map impact on revenue with implementation

2024 potential

“The estimate for the 2023/2024 harvest indicates grain production of 299.8 million tons, with soybeans and corn responsible for 263 million tons”

280

280

Strada partner carriers

48m

48m

ton of approximate Strada volume

Now, let’s get some work done?

Now, let’s get some work done?

currently available

currently available

Lucas Lopes

Product designer, creative and facilitator

hello@lucaslopes.design