2022.01 — 2023.02

Noise Eraser APP & Website

The Noise Eraser App & Web removes background noise to enhance audio clarity, offering an easy way to improve sound quality, especially for voice recordings.

Goal

Design GoalsTo support the business goals and address key usability issues, our design focused on:

Business Goal
This redesign supports the company’s strategic goal of positioning the product as a trustworthy, shareable, and technically impressive AI-powered tool.

We aimed to:

Product background

Noise Eraser is an AI-powered audio noise reduction product that helps users eliminate background noise and enhance speech clarity. It is primarily used in scenarios such as online meetings, content creation, and podcast production.

Market Opportunity:The rise of remote work has increased the demand for improved online meeting audio quality.
The explosive growth of audio and video content has created a need for more professional noise reduction solutions.

Competitive Analysis:Current leading competitors in the market, such as Audio Studio and Dolby, focus on AI-based noise reduction but often lack a user-friendly UI/UX. Noise Eraser differentiates itself by offering low learning curve and high usability, making it more accessible to users.

Noise Eraser is an AI-powered audio noise reduction product that helps users eliminate background noise and enhance speech clarity. It is primarily used in scenarios such as online meetings, content creation, and podcast production.

Market Opportunity:The rise of remote work has increased the demand for improved online meeting audio quality.
The explosive growth of audio and video content has created a need for more professional noise reduction solutions.

Competitive Analysis:Current leading competitors in the market, such as Audio Studio and Dolby, focus on AI-based noise reduction but often lack a user-friendly UI/UX. Noise Eraser differentiates itself by offering low learning curve and high usability, making it more accessible to users.

Role

Product Designer

Deliverables

User Interview
Usability Test
User Flow
Wireframe
Design System
Iterations

Design Tool

Figma

Cooperate with

1 PM
1 Android & iOS Engineer
1 Front-End Engineer

Achievement

+91% Number of active users
+17% Number of members
+5% Total analysis count
+0.61% Total subscription count
+5% Total download count

User Research & Findings

Research Method:
Conducted interviews with 6 users to analyze their behavior and pain points related to noise reduction products.

Key Findings:
1. 66% of users churned due to the inability to clearly perceive the noise reduction effect.
Since the product is new to the market, users are still exploring its functionality. Some videos naturally have minimal noise, making the effects less noticeable.
Without a clear way to demonstrate the feature’s impact, users might misunderstand its effectiveness.
2. 50% of users felt confused due to differences in app and web interfaces.
3. 66% of user are not sure whether our product has auto save function.
4. 33% of user think that the outcome is not aligned with the user’s expectation

Persona Overview

Based on user interviews and usability testing, we identified the following personas and findings.

Persona 1 — Budget-Conscious Learner

Age: 18–26
Role: Student or self-taught content creator
Tools: Basic mic/headset, free or low-cost editing tools
Quote: “I just want clean audio without buying expensive tools.”
Goals & Needs:

  • Simple tools to clean up background noise
  • Functionality over visual design
  • Affordability is key

Pain Points:

  • Background noise ruins recordings
  • Overwhelmed by complex editing software

Persona 2 — Practical Entrepreneur

Age: 27–40
Role: Solo content creator or small business owner
Tools: Mid-range mic, livestream equipment
Quote: “I release content daily and just need it to sound professional.”
Goals & Needs:

  • Fast and efficient noise removal
  • Minimal setup or UI customization
  • Prioritizes clarity and speed

Pain Points:

  • Daily manual editing is time-consuming
  • No time to learn complex tools

Problems

We also ran a usability test and summarized the following four problems:

1. Users are unsure about the usage status → Lack of real-time feedback leads to a gap in user experience.

2. Inconsistent UI/UX between the app and web versions → Increases the learning curve and affects user retention.

3.Unclear file-saving status → Creates uncertainty, disrupting the workflow.
4. The outcome is not aligned with the user’s expectation→ Reduces productivity and lowers conversion rates.

1. Unclear state

1.2. Noise Reduction Feature Analysis

Noise reduction effectiveness varies depending on the video. Some files show little difference before and after processing, making it hard for users to perceive its impact.
This may lead users to believe that the product is ineffective, potentially resulting in user loss.

1.3.Voice and Background Sound Adjustment

If both voice and background sound are set to the same value, no reduction occurs, which may further reinforce the perception that the product is not working as expected.

Since the product is new to the market, users are still exploring its functionality. Some videos naturally have minimal noise, making the effects less noticeable.
Without a clear way to demonstrate the feature’s impact, users might misunderstand its effectiveness.

2. Inconsistency in the operation methods between the WEB and APP

Users said if a large number of files need to be downloaded, it is preferable to rename the files during the editing process for easier organization after downloading. Renaming the files only at the time of downloading would require individually checking each file, which is more cumbersome.

Currently, it can only be modified on the APP.

Inconsistent default icons and premium badges (crown icon) between the APP and the Web.

3. Missing basic information and functionality
4. The outcome is not align with user’s expectation

When users complete adjusting the audio and share the link with others, they anticipate the shared page will reflect their real-time noise reduction settings.

However, instead of displaying the user's specific adjustments, we provide a before-and-after comparison showcasing our noise reduction capabilities. This approach allows us to highlight our expertise in noise reduction on this webpage.

Problem Statement

Users often feel uncertain or anxious when sharing meeting content automatically. They lack control over what is shared, when, and to whom. This causes hesitation and may reduce engagement with automated productivity tools.

Our goal is to design a more transparent, customizable, and trustworthy sharing experience that aligns with users’ mental models and boosts adoption.

Solution

This redesign focused on three main goals:
(1) Reduce ambiguity in how the denoising works,
(2) Offer users both default simplicity and advanced control,
(3) Build user confidence in the system through clear status feedback and shareability.

1. Make the usage status clear

Option A (Chosen): Disable the purchase button and show a “purchased” status after users buy the product
Option B (Not Chosen): Keep the purchase button active regardless of buying status, and notify users only after clicking

Why A over B?

From the user’s perspective:

  • Clarity and confidence: Users immediately know they’ve already bought the product, without second-guessing or needing to recall past actions.
  • Reduces frustration: Prevents the awkward experience of clicking a button, only to be told after the fact that the purchase has already been made.
  • Supports trust: Clear system feedback builds user confidence that the platform is reliable and well-designed.

Rationale:

  • Immediate visual feedback: A disabled button with a “purchased” label communicates system state clearly and reduces ambiguity.
  • Minimizes unnecessary interaction: Avoids leading users into dead-end or redundant flows that can cause confusion or doubt.
  • Follows established design patterns: Most subscription-based platforms (e.g., Adobe, Zoom) disable purchasing actions for already-owned content to reinforce state awareness.

Collaboration & Constraints:

After discussion with the PM and engineers, the team aligned on prioritizing user clarity and reducing support burden.

  • PM highlighted recurring support tickets from users uncertain about their purchase state.
  • Engineers confirmed that real-time purchase verification and UI state updates were technically feasible.

Validation:

  • This pattern was validated by comparing with UX benchmarks from subscription-based services (e.g., Adobe, Zoom).
  • Post-release feedback showed a noticeable drop in “accidental re-purchase” attempts and helped reduce user support tickets regarding purchase status.
2. Enhance real-time noise reduction visualization

Option A (Chosen): Remove the play button from the thumbnail
Option B (Not Chosen): Keep the play button to allow quick preview of the video/audio

Why A over B?

From the user’s perspective:

  • Prevents misunderstanding: Users expect that pressing a play button will preview the final, noise-reduced version. Playing the original audio instead creates confusion and may lead them to falsely believe the tool hasn’t worked.
  • Preserves trust in system behavior: When users don’t get what they expect, they may lose confidence in the tool’s reliability — especially in tasks involving audio quality where perception is subjective.
  • Reduces cognitive friction: Users can more easily focus on the next actionable step (e.g., “Edit” or “Download”) without being sidetracked by an unclear playback experience.

Rationale:

  • Avoids false expectations: A play icon implies readiness and completeness, which conflicts with the actual system state if the noise reduction hasn’t been applied yet.
  • Clearer process communication: Replacing the play icon with status labels such as “Processing”, “Edit”, or “Complete” more accurately reflects the current file state and guides users toward the appropriate action.

Collaboration & Constraints:

PMs raised concerns that confusion around the play button could reduce user trust in the product’s effectiveness. The technique is feasible.

Validation:

Ppost-launch feedback indicated a decrease in support tickets and user confusion regarding the noise reduction status.

Why Choose Option A Over Option B?

Chosen (A):

Use a gray but draggable slider for preset filters (e.g., “Clear,” “Natural,” “Background Focus”) to visually indicate fixed values, but still allow user interaction. When adjusted, the system switches to a “Custom” mode.

Not Chosen (B):
Use a fully disabled (non-draggable) slider in preset filters to reinforce that these settings are fixed and not meant to be adjusted.

Rationale:

  • Transparency: Users can see the underlying logic of each preset (i.e., how much voice/background mix it applies), rather than treating it as a black box.
  • User control: Letting users adjust the slider gives them freedom to personalize while starting from a default.
  • Clarity: Once the user changes the value, the label switches to “Custom,” helping them understand they’ve diverged from the preset.

Trade-off:

  • Option A may cause slight confusion — users might initially assume the gray slider is disabled.→ To mitigate this, we ensured the switch to “Custom” is immediate and visually clear after any interaction.
  • Option B would enforce rigidity and prevent accidental changes, but limits exploration and reduces user sense of control.
  • A introduces slightly more interaction complexity, but results in higher perceived transparency and flexibility.

Technical / Business Constraints:

  • Business: Some users upload audio files with very low background noise, making denoising effects less noticeable. By showing preset ratios and allowing adjustments, the UI helps communicate: "The filter is doing something — your input just doesn’t need much correction."

Validation:

  • In early usability testing, users who didn't hear an obvious difference still recognized the UI feedback, which reduced frustration.
  • Users appreciated having a “starting point” but also the ability to customize — reinforcing trust and improving perceived value of the product.
  • This design aligns with UX principles:
  • Visibility of System Status
  • User Control and Freedom
  • Progressive Disclosure
3. Unify the app and web user experience. Reduce the learning curve and increase user retention rate.

Add the edit function of the file name.

Make the prime icon the same between different platforms.

I refer to Canva and Google Slides which are popular editing tools, and I found that they use tooltips to help users understand the icon's function.

To decrease the user's learning curve, I follow their solution. When users hover over the background and voice icon, a tooltip notification appears above the icons on the web. Moreover, as for the mobile version,  it will show the tooltip for several seconds when the users jump to this page.

When users click the different buttons, a tooltip notification appears on the video to inform the user of the currently used filter.

Collaboration & Constraints:

Technical Constraints: On mobile, hover interactions aren’t available, so engineers had to build a time-delayed tooltip display logic.
Business Consideration: Improving new user onboarding and retention was a key metric, making the investment worthwhile.

Validation:

This solution aligns with established UX best practices (e.g., Nielsen Norman Group’s heuristics).

4. Add real-time autosave notifications (Autosave Toast) → Inspired by Google Docs & Canva, reducing operational uncertainty.

Design Overview
We added a real-time autosave toast notification that appears as soon as editing begins, clearly communicating to users that the system is autosaving their changes. Additionally, when autosave fails (e.g., due to a connection issue), we display a “disconnected” toast, warning users that edits will be paused.

From the user’s perspective:

  • Reduces cognitive burden: Especially for new users unfamiliar with the product, it's often unclear whether their edits are being saved. The toast provides immediate reassurance — “you don’t have to worry, your changes are safe.”
  • Prevents invisible failure: If the internet disconnects mid-session and no feedback is shown, users may continue editing in vain. A visible alert ensures users are aware that saving is temporarily paused.
  • Supports mental model formation: Mature users of tools like Google Docs may expect autosave, but new users of early-stage products often need explicit confirmation. This design helps them quickly understand how the system behaves.

Why we chose this approach:

Our product is new and unfamiliar to most users. Unlike mature platforms such as Figma or Notion, we cannot rely on implicit user trust. Instead, we chose to proactively build confidence through clear, real-time system feedback. The autosave toast acts as a lightweight but highly effective mechanism to achieve that.

Collaboration with PM and Engineering:

  • PM feedback: Supported the idea that early-stage products need stronger reassurance mechanisms. PM emphasized the importance of onboarding confidence and visibility into system behaviors.
  • Engineering feedback: Confirmed that the toast logic was straightforward to implement. Toast triggers were event-based (on connection + on edit start), and would not introduce performance issues.

Technical / Timeline / Business Constraints:

  • Technical: Implementing autosave itself was already part of the core logic. The toast system was lightweight and used the same toast component for reuse.
  • Business: As a new tool in the market, building trust through clear system status is crucial. We cannot assume that users know autosave is present unless we visibly confirm it.

Validation:

UX benchmark reference:

  • Google Docs / Canva: Actively show “All changes saved” feedback, even for small edits.
  • Figma: Silent autosave by default, only warns when there's a failure — which works well for experienced users, but can confuse new users.

This decision supports Nielsen Norman Group’s usability heuristic:

  • Visibility of System Status – users should never be left guessing what the system is doing.
  • Error Prevention – showing failure states helps avoid wasted effort during connection issues.
5. Balancing Brand Showcase with User Needs: Optimal vs. Custom Denoising Ratios

"In testing, 4 out of 5 users said they preferred sharing their custom result over the system-recommended one."

Feature Overview:
We designed a toggle allowing users to switch between a system-defined “Optimal” denoising ratio and their own “Custom” settings. The current ratio is always displayed clearly in the UI, and whichever ratio is active will be applied when sharing the output.

Background Context: Brand Priorities vs. User Intent

  • From the company’s perspective, the Optimal ratio showcases the full power of our denoising algorithm—delivering the cleanest result possible to highlight technical excellence and promote the product.
  • From the user’s perspective, however, they want to share the version they personally fine-tuned—whether to retain more ambient sound, preserve vocal warmth, or fit their content style.

This feature was designed to balance the company’s need for consistent brand representation with users’ need for personal control and authentic expression.

User Perspective:

  • I want to share the version I adjusted—not the one your system thinks is best denoise effect.
  • The ability to switch modes and see the exact ratio applied builds transparency, trust, and control—all crucial for confident sharing.

Why We Chose Option A (Toggle + Ratio Display) Over Option B (Fixed Optimal Only):

Rationale:

  • Enables both quick publishing (Optimal) and personal refinement (Custom) without friction.
  • Provides visibility into what’s being applied, avoiding confusion or mismatched expectations.
  • Builds product credibility by empowering users with choice—not locking them into a one-size-fits-all solution.

Collaboration with PM & Engineering:

  • PM feedback: Strongly supported the dual-mode model. It aligns with product goals by catering to both casual and advanced users—boosting publishing speed while supporting nuanced customization.
  • Engineering feedback: Frontend toggle logic and ratio value display were straightforward. Switching the default sharing mode was a minor config change.

Technical / Business Constraints:

  • Technical: Toggle and ratio display are purely UI-level implementations. No additional back-end load or algorithm recalculation is required.
  • Business:
  • The Optimal ratio ensures brand consistency and helps demonstrate the algorithm’s full capability.
  • The Custom mode increases user satisfaction and promotes content that better represents creators’ intent.
  • Defaulting to public sharing encourages exposure and organic reach, especially when paired with a streamlined publishing flow.

Validation:

This solution supports key UX principles:

  • Visibility of System Status – Users always know what setting is active.
  • User Control and Freedom – No locked-in presets; users remain in charge of their output.

Result

The results are in, and the redesign this time around has been successful in many aspects. It has significantly elevated key business metrics and user engagement. We've also received a lot of positive feedback from users.

User Feedback

Apple Store
Google Play

Future Plan

1. Strengthen Motivation with Contextual Scenarios
Users may still lack a clear understanding of the product’s value before subscribing. Consider adding relatable user stories or contextual pain-point scenarios (e.g., “Have you ever struggled with XXX? Here’s how this plan solves it”) to spark emotional resonance and encourage action.
2. Simplify the Subscription Flow and Reduce Friction
Streamline the process with lower-commitment entry points—such as offering “no credit card required” trials or instant product demos—to reduce hesitation and drop-offs.
3. Leverage Social Proof and Build Trust
Strengthen credibility by showcasing real-time indicators of trust, such as user testimonials, ratings, or dynamic banners showing recent signups. This builds confidence and encourages hesitant users to take action.

Takeaway

1. Users are often familiar with certain universal icons, so it’s best to use widely recognized symbols that align with the accompanying text. If less familiar icons or visual styles are introduced, it’s important to educate users—otherwise, confusion may arise.

2. Design decisions should always be grounded in business value. It’s not just about aesthetics; design must align with resources, timelines, and stakeholder goals to drive product success.

3. Involving engineers early in the research process fosters mutual understanding. When engineers grasp the reasoning behind design decisions, they’re more likely to support them—leading to smoother collaboration.

4. Staying open to the possibility of being wrong encourages constructive feedback and helps us avoid bias. It’s a mindset that fosters better design outcomes.

5. Communicate with confidence and humility. Aim for win-win conversations by aligning user needs with business goals, rather than pushing personal opinions.

6. Assume every design output can be improved. This mindset helps reduce bias and opens the door to diverse perspectives—especially when opinions differ.

7. When discussing design proposals with stakeholders, don’t just emphasize potential gains. Leveraging loss aversion—by pointing out the risks or missed opportunities of poor design—can often be more persuasive.

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