UX Research Services – User Experience Testing to Improve Digital Product Performance

Unlock product growth with evidence-driven UX research and digital product testing from Research Bureau. We combine behavioural science, industry best practices, and rigorous testing to reduce friction, increase conversions, and deliver measurable product improvements. Whether you’re launching a new feature or optimising an enterprise application, our research converts assumptions into prioritized actions.

We specialise in actionable insights, clear recommendations, and stakeholder-aligned deliverables that teams can implement immediately. Share project details for a tailored quote, contact us via the contact form, click the WhatsApp icon, or email [email protected].

Why UX Research Matters

Strong UX research transforms your roadmap from opinion-led to evidence-led. It helps teams:

  • Identify the highest-impact usability problems slowing conversions.
  • Validate product decisions before costly development.
  • Reduce churn and support costs by removing friction points.
  • Prioritise features backed by user needs and business value.
  • Improve key metrics: task success, time-on-task, conversion rate, and NPS.

Research Bureau focuses on both product performance and business outcomes. We measure the impact of UX decisions in business terms so stakeholders can justify investment.

Our Approach: Rigorous, Repeatable, Outcome-Focused

We follow a structured, transparent process tailored to your timeline and budget. Every project produces clear recommendations, prioritized by effort and impact.

1. Discovery & Alignment

We start by understanding your business goals, KPIs, user segments, and technical constraints. This phase typically includes stakeholder interviews, analytics review, and a kickoff workshop.

  • Deliverables: research brief, KPI alignment, success criteria.

2. Research Planning

We design a study that matches your objectives—choosing methods, sample sizes, and success metrics. We document recruitment criteria and testing scenarios.

  • Deliverables: research plan, screener templates, consent forms.

3. Participant Recruitment

We recruit target participants matching your personas and demographics. We handle screening, incentives, scheduling, and compliance.

  • Typical sample sizes: 5–8 users for iterative usability tests; 20–100+ for statistically meaningful unmoderated studies or A/B tests.

4. Test Execution

We run moderated or unmoderated studies, A/B tests, surveys, or contextual inquiries depending on the brief. Sessions are recorded, timestamped, and annotated.

  • Deliverables: session recordings, raw data exports.

5. Analysis & Synthesis

We combine qualitative insights with quantitative evidence to identify root causes. We use frameworks like affinity mapping, task analysis, and statistical testing.

  • Deliverables: prioritized issues, heatmaps, success-rate calculations.

6. Recommendations & Roadmap

We translate findings into clear, actionable recommendations with design mockups or interaction notes and a prioritized implementation roadmap.

  • Deliverables: recommendation report, clickable prototypes (optional), prioritization matrix.

7. Validation & Follow-Up

We validate implemented changes with follow-up testing or A/B experiments to measure lift and inform next steps.

  • Deliverables: validation report, impact metrics, next-phase proposals.

UX Research Services — Methods & When to Use Them

We offer a full suite of UX research and testing methods. Choose a single method or a mixed-methods package for deeper insight.

Moderated Usability Testing (Remote or In-Person)

Best for: Deep qualitative insight into user behaviour during key tasks.

  • Purpose: Observe users completing realistic tasks to identify friction.
  • Sample: 5–12 users per round for iterative testing.
  • Typical duration: 60–90 minutes per session.
  • Deliverables: recordings, task success rates, usability issues prioritized.
  • Tools: Lookback, Zoom, Morae.

Unmoderated (Quantified) Usability Testing

Best for: Rapid, scalable testing of flows and prototypes.

  • Purpose: Gather task completion metrics and time-on-task from a larger sample.
  • Sample: 20–200+ participants depending on confidence needs.
  • Typical duration: 5–20 minutes per participant.
  • Deliverables: completion rates, heatmaps, quantitative logs.
  • Tools: UserTesting, PlaybookUX, Maze.

Prototype & Wireframe Testing

Best for: Early validation before development.

  • Purpose: Verify navigation, layout, and interaction patterns on low-to-high fidelity prototypes.
  • Sample: 5–20 users depending on fidelity and scope.
  • Deliverables: interaction notes, prioritized fixes, prototype iterations.
  • Tools: Figma, InVision, Marvel.

A/B & Multivariate Testing

Best for: Measuring impact of UI changes on conversion metrics.

  • Purpose: Statistically validate hypotheses with live traffic.
  • Sample: Traffic-based; statistical significance required.
  • Typical duration: 2–6+ weeks depending on traffic.
  • Deliverables: experiment reports, lift calculations, implementation recommendations.
  • Tools: Optimizely, Google Optimize, VWO.

Heuristic Evaluation & Expert Review

Best for: Fast, expert-driven identification of usability problems.

  • Purpose: Evaluate product against usability heuristics and best practices.
  • Sample: 2–4 expert evaluators.
  • Deliverables: prioritized heuristic scorecard, severity ratings.
  • Tools: Nielsen heuristics, bespoke rubrics.

Accessibility Testing (WCAG)

Best for: Ensuring compliance and improving inclusive design.

  • Purpose: Identify barriers for users with disabilities and recommend remediations.
  • Sample: Automated scans + manual testing with assistive tech users.
  • Deliverables: WCAG compliance checklist, remediation guide.
  • Tools: Axe, WAVE, manual assistive device testing.

Card Sorting & Information Architecture Testing

Best for: Optimising navigation and content structure.

  • Purpose: Understand users’ mental models to improve findability.
  • Sample: 20–50 users for open/closed card sorts.
  • Deliverables: taxonomy recommendations, tree-testing results.
  • Tools: OptimalSort, Treejack.

Contextual Inquiry & Diary Studies

Best for: Deep contextual understanding over time.

  • Purpose: Observe real-world behaviour and context around product use.
  • Sample: 6–15 participants for diary studies; fewer for in-depth contextual interviews.
  • Deliverables: journey maps, behavioural patterns, opportunity areas.

Surveys, NPS & Quantitative Research

Best for: Measuring attitudes, satisfaction, and segmentation.

  • Purpose: Capture large-scale user sentiment and validate qualitative insights.
  • Sample: hundreds to thousands depending on population.
  • Deliverables: survey analysis, segmentation, correlations with behaviour.
  • Tools: Typeform, SurveyMonkey, Qualtrics.

Analytics Audit & Session Replay Analysis

Best for: Rapid hypothesis generation from real user data.

  • Purpose: Combine analytics, funnels, and session replays to find problem hotspots.
  • Deliverables: funnel analysis, prioritized experiments, replay snippets.
  • Tools: Google Analytics, Hotjar, FullStory.

Metrics & KPIs We Measure

We measure both UX and business metrics to quantify impact. Common KPIs include:

  • Task Success Rate: percentage of users who complete tasks successfully.
  • Time on Task: average time to complete a core task.
  • Error Rate: number of critical errors per task.
  • System Usability Scale (SUS): standardised usability score.
  • Net Promoter Score (NPS): user loyalty indicator.
  • Conversion Rate: purchase or sign-up conversion per flow.
  • Drop-off Rate & Funnel Analysis: where users abandon key flows.
  • Customer Effort Score (CES) & CSAT: ease and satisfaction metrics.
  • Revenue per Visitor (RPV) & Lifetime Value (LTV) uplift from UX changes.

We align metrics to your goals and establish baselines for pre/post measurement.

Tools & Platform Expertise

Research Bureau uses a best-of-breed stack to collect and analyse data:

  • Remote research & usability testing: UserTesting, Lookback, PlaybookUX
  • Prototyping & design: Figma, Sketch, InVision
  • Analytics & experimentation: Google Analytics, Amplitude, Optimizely
  • Session replay & heatmaps: Hotjar, FullStory
  • Accessibility: Axe, WAVE, manual testing with assistive tech
  • Surveys & panels: Qualtrics, Typeform, SurveyMonkey

We adapt tools to client constraints and can integrate with your analytics stack.

Deliverables — Clear, Actionable, and Visual

Every engagement from Research Bureau includes concrete artifacts designed for implementation:

  • Executive summary: top findings and business impact.
  • Full research report: detailed evidence, quotes, transcripts, and metrics.
  • Prioritised action list: fixes ranked by impact and effort.
  • Visual examples: annotated screenshots, interaction specs, and Figma-based proposed fixes.
  • Raw data & recordings: secure access for internal review.
  • Workshop sessions: co-creation workshops to align engineering and product teams.
  • Validation plan: recommendations for post-release measurement and A/B tests.

We deliver materials designed for product teams, executives, and developers.

Case Studies — Evidence of Impact

Below are anonymised examples showing how UX research drove measurable outcomes for clients.

Case Study A: E-commerce Checkout Optimisation

Situation: High checkout abandonment on a multinational retailer.

Approach:

  • Analytics audit to identify funnel drop-offs.
  • Remote moderated usability tests on checkout tasks (n=8).
  • Unmoderated follow-up for 200 participants to validate layout changes.

Outcome:

  • Identified form field confusion and payment workflow friction.
  • Implemented simplified address autocompletion and clearer CTA hierarchy.
  • Result: 18% increase in checkout completion rate, 12% uplift in average order value.

Case Study B: SaaS Onboarding Flow Redesign

Situation: Low activation rate for a B2B SaaS trial.

Approach:

  • In-depth contextual interviews with trial users (n=10).
  • Heuristic evaluation and prototype testing of alternate onboarding flows.
  • A/B test with live traffic (30-day run).

Outcome:

  • Discovered mismatches between user expectations and feature language.
  • Redesigned onboarding steps and inline guidance.
  • Result: 25% increase in activation rate, 30% reduction in support tickets for new users.

These case studies show how targeted research and iterative validation produce measurable business lift.

Typical Timelines & Sample Engagements

Project timelines vary by scope and method. Below are typical engagements:

  • Rapid Discovery & Heuristic Review: 1–2 weeks
  • Remote Moderated Usability Test (one round): 3–4 weeks
  • Unmoderated Quantified Test: 2–3 weeks
  • Prototype Testing + Iteration: 3–6 weeks
  • Full Mixed-Methods Research (discovery → validation): 6–12 weeks
  • A/B Testing (live): 2–8+ weeks depending on traffic

We provide accelerated tracks for time-sensitive releases and phased plans for ongoing optimisation.

Pricing & Packages

We offer flexible pricing for startups through to enterprise. Below is a guideline — all projects are customized and priced after discovery.

Package Ideal for Key inclusions Estimated price range (ZAR)
Starter Sprint Small features or early prototypes Heuristic review, 5 moderated tests, recommendations 25,000 – 45,000
Growth Package Product teams optimizing conversion funnels Unmoderated test (50+ users), analytics audit, A/B test design 60,000 – 120,000
Enterprise Program Continuous optimisation for large products End-to-end research program, recruitment, monthly testing, workshops 150,000+ / month

We also offer à la carte services (e.g., recruitment, accessibility audit, A/B test execution). Share project details for a precise quote.

Estimating ROI from UX Research

Design changes guided by research often yield measurable ROI. Use this simple formula:

  • Lift = (post-conversion rate – baseline conversion rate) / baseline conversion rate
  • Monthly uplift in revenue = lift * monthly visitors * conversion rate * average order value

Example:

  • Baseline conversion: 2%
  • Post-change conversion: 2.4% (20% lift)
  • Monthly visitors: 100,000
  • AOV: R800
  • Monthly revenue uplift = 0.2 * 0.02 * 100,000 * 800 = R320,000

This shows how even small percentage improvements can translate to substantial revenue.

Security, Privacy & Ethics

We prioritise participant privacy and data security. Research Bureau adheres to best practices:

  • Informed consent and anonymisation of participant data.
  • Secure storage of recordings and transcripts.
  • GDPR-like respect for data subject rights where applicable.
  • Ethical recruitment—clear compensation and expectations.

Tell us about any compliance or privacy needs during discovery.

How to Get Started — Fast, Clear Steps

Getting started is simple. Provide a few details and we’ll propose a tailored plan.

  1. Share your project details: goals, KPIs, users, timeline, and budget.
  2. Schedule a free 30-minute discovery call to align scope.
  3. Receive a customised proposal and project timeline.
  4. Kick off with a short onboarding session.

Contact options:

  • Use the contact form on this page to upload briefs or wireframes.
  • Click the WhatsApp icon to message us instantly.
  • Email: [email protected] — attach designs or analytics exports.

We’ll respond within one business day and can provide a ballpark estimate from an initial brief.

Frequently Asked Questions (FAQs)

How many users do we need for a usability test?

For qualitative moderated tests, 5–8 users per round is a proven starting point to uncover most major issues. For quantified validation or segmentation tests, plan 20–200+ participants depending on desired confidence.

Can you recruit specific user segments?

Yes. We recruit participants to match your personas, demographics, industry roles, and technical proficiency. We manage screening, incentives, and scheduling.

Do we need to provide prototypes or can you build them?

You can provide prototypes or we can create clickable mockups. We work with Figma, Sketch, and InVision and can rapidly prototype testable flows.

How do you prioritise recommendations?

We use an impact vs. effort matrix and tie recommendations to KPIs. Each item is scored by potential business impact, feasibility, and confidence level.

Will you run A/B tests for us?

Yes. We design experiments, set up tracking and goals, and analyse test results. For production A/B tests, we collaborate with your engineering or experimentation platform.

How do you measure long-term impact?

We recommend a validation plan including telemetry changes, funnel monitoring, and periodic follow-up tests to measure sustained improvements.

Examples of Typical Deliverables (Sample Snippets)

  • Executive summary: “Top 3 issues account for 65% of task failures — fix form validation, simplify CTA labeling, and add progress indicators.”
  • Recommendation card: “Implement one-address-per-line autocompletion — estimated dev effort 2 days — potential uplift 8–12% checkout conversion.”
  • Prototype note: “Move primary CTA to top-right of header and label as ‘Start Free Trial’ — reduces cognitive load and aligns with primary task.”

Why Research Bureau?

Research Bureau combines methodological rigour with practical business sense. We bring:

  • Senior researchers and UX practitioners with industry experience.
  • Mixed-methods expertise: qualitative insights + quantitative validation.
  • Actionable, developer-ready recommendations.
  • Transparent pricing and clear ROI focus.
  • Local presence with global standards.

We’re focused on outcomes: faster time-to-value, fewer reworks, and measurable growth.

Final Call to Action

Ready to move from assumptions to evidence? Share your project brief for a customised quote. Use the contact form on this page, click the WhatsApp icon to message us directly, or email [email protected]. We’ll get back to you within one business day to schedule a discovery call and propose a plan that fits your timeline and goals.

Let Research Bureau turn your user problems into product opportunities — with clarity, speed, and measurable results.