Emotion-driven playtesting

See exactly what players feel during your game.

Second-by-second emotion data during real playtests. Know where engagement drops, frustration spikes, and confusion sets in — before you ship.

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We work with top gaming studios

Voodoo Google Mytona Vizor Nexters Pixonic

The gap

Most studios know their playtest found issues.
Very few know which moment caused them.

Traditional playtests give you a bug list and a set of opinions. Both arrive after the session ends. Neither tells you which moment in the game broke the experience — or whether the player who went quiet at minute four was confused, bored, or just thinking. You're making design decisions on anecdote when the actual signal was happening in real time.

Think-aloud feedback
Narration changes the experience.

Asking players to describe what they're feeling pulls them out of the state you're trying to measure. The act of reporting disrupts the signal. You get a commentary, not an experience.

Post-session surveys
Recall rewrites what actually happened.

By the time a player answers a survey, the raw emotional reaction is already rationalised. They describe the version of the session they've reconstructed — not the one they were in.

Observer notes
Subjective, selective, unscalable.

A researcher in the room catches some signals and misses others. Observations differ between researchers. Patterns across players are assembled from notes, not data. The learning is only as good as the observer.

"The decision to leave was made earlier than your dashboard shows."

How it works

Moment-level insight in three steps.

Real players. Second-by-second emotion data during live gameplay. Delivered as actionable design hypotheses tied to specific moments in the session.

01

Run a playtest with real players matched to your audience

We run your game through a panel of real players matched to your target demographic. Any platform, any genre, any stage of development. Players provide two video files: a screen recording of the session and a face recording of the player. That's the only input required — no SDK, no build changes.

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02

See the emotional arc of every session

Emhance watches the screen recording, detects meaningful in-game events, and maps each player's facial reactions to those exact moments. The result is an emotional arc timestamped to your game — where engagement peaks, where it drops, where frustration builds, where confusion sets in. Compare across players to find patterns. The moment a design decision is causing problems becomes visible.

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03

Get design hypotheses tied to specific moments

We deliver prioritised recommendations referenced to exact timestamps in your game. Which mechanic is causing the engagement drop at minute three. Which tutorial moment is triggering confusion. Which sequence is working and why. The decision — iterate or ship — is made on evidence, not the loudest voice in the debrief.

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Diagnostic outputs

Four outputs. All moment-level. All pre-ship.

Not a findings deck. A set of decisions referenced to specific moments in your game.

Output 01

Emotion Timeline

A second-by-second trace of each player's emotional engagement across the session. Engagement peaks and drops are timestamped to the exact game moment that caused them. You see where the experience is working and where it's losing the player — before they churn.

Output 02

Attention Heatmap

Frame-by-frame visibility into where player attention is going. See which UI elements, characters, and environments are pulling focus at each moment — and whether attention is landing where the design needs it. Spot mismatches between intent and behaviour before they compound.

Output 03

Player Comparison View

Emotion timelines from every participant overlaid on a shared game-event axis. Patterns become visible immediately — a moment that triggers disengagement in 70% of players looks very different from one that polarises. Design decisions get easier when the data is in the room.

Output 04

Design Hypotheses

Prioritised recommendations tied directly to the signal data. Which mechanic to revisit. Which tutorial to shorten. Which sequence to move. Each hypothesis is grounded in what actually happened in the session — not in what felt interesting to discuss afterwards.

Who it's for

Studios making design decisions that need to be right.

If you're about to ship a mechanic, push a build to soft launch, or iterate on a retention problem — and you want to know what players are actually feeling before you commit — this is the playtest to run.

Mobile game studios

High iteration velocity, tight retention windows. Know exactly where your D1 players are dropping emotionally — before it shows in your D7 curve.

Indie developers

Limited playtest access and no UX research budget. Get the signal that would otherwise take months of community feedback to surface.

AA / AAA studios

Large teams, complex player journeys, high cost of late-stage redesign. Validate design decisions earlier in the cycle with objective emotional data.

Publishers

Running pre-launch validation across a portfolio. Compare emotional engagement across titles and identify the ones with the retention risk before they go live.

Commercial outcomes

What changes when you have the signal.

The value isn't the report. It's the decisions that get made differently because of it.

Faster iteration cycles

Design debates get shorter when the emotional data is in the room. Teams agree on what to fix because they can see where the problem sits — not just argue about whether it exists.

Fewer late-stage redesigns

The problems that surface in playtests are expensive to fix at launch. Catching them at the moment-level in development means they get addressed before they compound into retention issues.

Higher confidence at ship

Not a gut feel. Not "it felt good in the office." A second-by-second read on how real players responded to the exact build you're about to push. Ship with the signal.

The methodology

Built to read the moments that matter in games.

Emotion signal is the mechanism. Engagement, frustration, and confusion are the outputs. Player behaviour and retention are the consequence. Most playtesting measures the last of those. We measure the chain — second by second, at moment level, under production conditions.

421 facial signals, not a simplified score

We measure 421 distinct facial signals per participant. The resolution matters when the difference between frustrated and focused is a single muscle movement — and when getting it wrong means a wrong design decision.

Real players, matched to your audience

Every playtest uses real players matched to your target demographic. Mobile casual, mid-core, hardcore, any age range, any market. The panel is the measurement condition — it has to reflect the actual audience.

Production conditions, not lab conditions

The platform is built for real games in real contexts — not sterile environments that flatten the signal. Player emotional response is sensitive to context. The measurement has to match it.

Playtest cohort now open

We're running a focused cohort of studios through the playtesting use case. If you're in active development or approaching soft launch, this is the right moment to run it.

Common questions

Practical answers.

Do we need to integrate an SDK or change our build?

No. Participants will log into the Emhance app to record their sessions. Emhance's AI takes two video files as input, direct from their device: a screen recording of the session and a face recording of the player. That's it. No SDK, no instrumentation, no changes to your build.

Can we test with our own players?

Yes. You can supply your own players or we can recruit a matched panel to your demographic. Both work. If you have an existing community or beta list, that's a good place to start.

What stage of development does this work for?

Any stage with playable content. We work with studios running early alpha playtests, pre-soft-launch validation, and post-launch retention diagnostics. The earlier in the cycle you run it, the cheaper the fix.

How quickly do we get results?

Depends on scope and panel size. Pilot formats are designed for fast turnaround. We'll confirm a timeline when we scope the study together.

Is this only for mobile games?

No. It works for any platform where moment-level player response affects retention and design decisions — mobile, PC, console. If you can record a session and a face, we can run it.

The offer

Playtest Diagnostic

A fixed-scope diagnostic that tells you what players are actually feeling at each moment in your game — and which moments are driving the design decisions you need to make next.

What's included

  • Real matched player panel (any platform, any demographic)
  • Second-by-second emotion data during live gameplay
  • Emotion timeline per player with game-event timestamps
  • Attention heatmap and player comparison view
  • Prioritised design hypotheses tied to specific moments
  • 30-minute findings debrief with the team

If you're about to push a build and you're still debating root cause in the room — this is the diagnostic to run first.

Book a Playtest

If you're shipping on instinct, you're leaving signal on the table.

30 minutes. We'll walk through your current build, what the playtest covers, and what you'll have at the end of it.

We reply within one business day. Or email sales@emhance.ai directly.