See Exactly Where Your Product Wins and Loses Against the Competition

Real users know how your product compares to the competition. TheySaid's competitive usability testing platform puts them through both in the same study, capturing screen recordings and AI-moderated reactions that show you precisely where you win and where you lose.

Competitive Intelligence That Stops at Features Misses What Actually Drives Decisions

Feature matrices tell you what competitors offer. Pricing pages tell you what they charge. G2 reviews tell you what their most vocal customers think. None of it tells you what it actually feels like to use their product, where their experience breaks down, or what your product does better in a way that real users would notice and value.

The decisions users make about which product to adopt and stay with are shaped by experience, not feature lists. A competitor with fewer features but a smoother onboarding flow will often win over a product with superior capabilities that takes longer to learn.

Competitive usability testing with TheySaid gives you that evidence. Run real users through your product and a competitor's in the same study, with AI moderating every session and asking the follow-up questions that reveal what users thought, which product felt more intuitive, and what would have to change for them to choose differently.

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How TheySaid Enables Competitive Usability Testing

Compare Your Product Against Competitors With Real Users

Build test plans that guide participants through the same tasks in your product and a competitor's product. AI moderates every session consistently, asking the same follow-up questions across both experiences so findings are directly comparable. Competitor usability testing with this level of consistency surfaces meaningful differences rather than the noise that uncontrolled comparison studies produce.

Understand Where Your Experience Wins the Comparison

Surface the specific moments where real users found your product easier, faster, or more intuitive than the alternative. Competitive user research that captures behavioral data alongside voice reactions tells you not just that users preferred your product in a particular flow but what specifically drove that preference, giving your product and marketing teams the evidence they need to make that advantage central to your positioning.

Find the Gaps Your Competitors Are Winning On

Hear real users describe what a competitor does better and why. AI probes the specific moments where your experience fell short in the comparison, what users expected that they did not find, and what would have to change for them to prefer your product. Competitive UX research findings at this level of specificity give your roadmap team direction that feature comparison tables cannot provide.

Benchmark Your Experience Against Category Standards

Competitor UX benchmarking across multiple products in your category reveals where the bar is set and how far above or below it your experience sits. Establish task completion rates, time-on-task, and qualitative friction scores across your product and two or three competitors to understand where your experience is genuinely differentiated and where it is simply at parity with the category.

Test With Users Who Have Experience With Your Competitors

Recruit participants who already use your competitors' products from TheySaid's panel of 5M+ with targeting by product category, job role, company size, and behavioral attributes. Competitor user testing findings are most valuable when they come from people who have genuine experience with the alternatives, not from participants who are encountering your competitors for the first time.

Validate Positioning Claims Against Real User Experience

Test whether the advantages you claim in your marketing are advantages real users actually notice and value. AI asks participants whether specific product strengths came through during their sessions and whether competitive claims they have seen in your marketing reflect their actual experience. Position around what users genuinely feel, not what your team believes.

Everything You Need to Run Rigorous Competitive Usability Research

Consistent AI Moderation Across Both Products

AI moderates every session with the same questions, the same follow-up logic, and the same task flow regardless of which product is being tested. Consistent moderation is what makes competitive findings meaningful: without it, differences in session quality rather than product quality drive the results.

Screen and Voice Recording

Capture complete session recordings of participants navigating your product and your competitors' products. See exactly where users hesitated, where they got confused, and where they moved through flows quickly and confidently. Voice commentary runs throughout, capturing real-time reactions to every interaction.

Comparative Theme Detection

AI analyzes all sessions across both products and surfaces the themes that differentiate the experiences: where one product generated significantly more confusion, where one generated more confidence, and where both performed similarly. Usability benchmarking tools that surface comparative themes rather than just aggregate scores give you findings you can act on.

Task Completion and Friction Scoring

Measure task success rates, frustration indicators, and friction points across your product and competitors' products using consistent metrics. Compare performance across the same task flows to understand where the experience gap is largest and where it is smaller than your team assumed.

Targeted Competitor User Recruitment

Recruit from TheySaid's panel with targeting by current product usage, category experience, job role, and company profile. Reach participants who genuinely use the competitor products you are benchmarking against, so findings reflect real comparative experience rather than first-time impressions from unfamiliar users.

Competitive Assumptions vs. Competitive Evidence

Without TheySaid

Feature Matrices Miss What Actually Drives Preference

Comparing feature lists tells you what each product offers. It tells you nothing about which experience feels more natural, which onboarding is more forgiving, or which product is easier to use by someone encountering it for the first time.

Review Sites Reflect the Loudest Voices, Not the Average User

G2 and Trustpilot reviews are written by highly engaged users, often at moments of strong satisfaction or strong frustration. They give you anecdotes, not representative data, and they tell you what users were motivated enough to write publicly, not what the typical user experiences.

Win/Loss Analysis Stops at the Deal Level

Sales win/loss reviews tell you why deals were won or lost from a commercial perspective. They rarely capture the product experience factors that shaped the underlying perception, and they almost never surface the specific moments where your product fell short in a direct comparison.

No Benchmark for How Good Is Good Enough

Without structured user experience competitor analysis, teams have no objective reference point for whether their experience is genuinely better than alternatives or simply assumed to be. Investment in UX improvements gets made without knowing where the bar is set.

Competitive Positioning Built on Internal Assumptions

Marketing claims about product advantages are often based on what the team believes rather than what users confirm. Positioning built on unvalidated assumptions is easy for competitors to undermine with a single user quote that contradicts the claim.

With TheySaid

See the Experience Gap, Not Just the Feature Gap

Competitive usability testing shows you where real users found your product easier, faster, or more intuitive and where a competitor's experience performed better in a direct comparison. The experience gap is often more decisive than the feature gap, and now you can measure it.

Evidence That Stands Up in a Product Review

Session recordings, AI-identified themes, and task completion comparisons give your product team evidence that is harder to argue with than anecdote or assumption. Roadmap prioritization grounded in competitive user research is easier to defend and more likely to target the right problems.

Position Around What Users Actually Notice

Test whether your claimed advantages hold up in real sessions. Competitor customer feedback analysis that confirms your positioning claims gives marketing the confidence to make them more prominently. Findings that contradict current positioning give the team a chance to recalibrate before the market does it for them.

A Clear Benchmark for Prioritization

Task completion rates and friction scores across your product and competitors give your team a reference point for how much improvement is needed and where. Fix the gaps that are losing you the comparison before investing in areas where you are already at or above category standard.

Recruiting the Right Comparison Audience

Test with users who have genuine experience with the products you are benchmarking against. Competitive UX research findings from users who actually use competitor products are worth significantly more than findings from participants encountering those products for the first time.

See What a Competitive Usability Study Looks Like

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From Concept to Launch: User Testing Use Cases

Learn how product teams use TheySaid's usability testing use cases and UX research use cases to validate prototypes, optimize features, test pricing strategies, and gather user feedback before shipping to customers.

Learn how product teams use TheySaid's usability testing use cases and UX research use cases to validate prototypes, optimize features, test pricing strategies, and gather user feedback before shipping to customers.

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FAQs

How does competitive usability testing work in practice?
You build a test plan with tasks that participants complete in your product and a competitor's product. AI moderates every session with the same questions and follow-up logic across both experiences. Participants complete the tasks, speak their reactions aloud, and answer AI follow-ups. You get session recordings, AI-identified themes, and task completion comparisons across both products.
Can I test against more than one competitor in the same study?
Yes. You can build test plans that include your product and two or three competitors, or run separate studies against different competitors and compare findings. Testing against multiple competitors in the same study increases session length, so most teams choose one or two primary competitors per study rather than testing the entire category at once.
How do I recruit participants who already use competitor products?
TheySaid's panel supports targeting by current product usage, app category, job role, and company profile. Describe the competitor user profile you need and demographic and behavioral filters help narrow the panel to participants with genuine experience using the products you want to benchmark against.
How is this different from reading competitor reviews on G2 or Trustpilot?
Review sites capture the experiences of users who were motivated enough to write a public review, often at moments of strong satisfaction or frustration. TheySaid captures structured sessions from a representative sample of users completing specific tasks, with AI probing the reasoning behind every reaction. The findings are more specific, more balanced, and more directly comparable than review site data.
Can I use competitive research findings to validate my positioning claims?
Yes. Structure sessions to test whether the advantages you claim in your marketing are advantages real users actually notice and confirm during a comparison. Competitive user research that validates positioning claims gives marketing the confidence to make them more prominently, while findings that contradict current claims give the team a chance to recalibrate.
How many participants do I need for meaningful competitive findings?
Most teams identify the significant experience differences between products with 15 to 20 completed sessions per product. Running fewer risks missing patterns that affect a meaningful percentage of users. Running more increases confidence, particularly when you are testing across multiple user segments with different levels of prior experience.
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