Keyboard hardware design data

Optimize keyboard layouts and key placement with real-world typing data from thousands of anonymized users.

Real-world typing behavior at scale

Move beyond small focus groups and lab studies. Access aggregated keyboard heat maps and typing patterns from tens of thousands of real users across different professions, languages, and workflows. All data is fully anonymized and aggregated - we never provide individual user information.

The challenge

Keyboard manufacturers face a fundamental problem: traditional user testing relies on small sample sizes that don't represent the diversity of real-world typing behavior. A focus group of 10-20 people can't capture:

  • Professional diversity

    Developers type differently than writers, gamers differently than office workers

  • Statistical significance

    Small samples can't validate design decisions with confidence

  • Long-term behavior

    Lab testing shows initial reactions, not sustained usage patterns over months

  • Global keyboard layouts

    QWERTY, AZERTY, Dvorak, and other layout differences require separate validation

How one manufacturer used WhatPulse data

The project

A keyboard hardware design company was developing their next-generation ergonomic keyboard. Their hypothesis was that frequently-used keys should be larger and more accessible, but they needed real-world data to validate which keys actually get used most - and how usage varies between different types of users.

The data WhatPulse provided

We delivered anonymized, aggregated keyboard heat map data from over 50,000 users, segmented by user type:

Data included:

  • Key press frequency distribution
  • Common key combinations and sequences
  • Physical key position usage intensity
  • Differences between user segments

User segments:

  • Software developers
  • Writers and content creators
  • Gamers (FPS, MOBA, MMO categories)
  • Office/administrative workers

Key insights discovered

Enter, Backspace, and Space dominate

These three keys accounted for 38% of all keystrokes across all user types - justifying 15% size increase in the new design.

Modifier key placement was suboptimal

Developers used Ctrl and Alt 4x more than average users, but these keys were in awkward positions causing pinky strain.

Profession-specific patterns emerged

Developers hammered brackets and semicolons, writers relied heavily on punctuation, gamers created distinct WASD heat signatures.

Number row underutilized

Except for developers and data entry workers, the number row saw minimal use - validating TKL (tenkeyless) design decisions.

Impact on product design

Armed with this data, the manufacturer made several design changes:

  • Enlarged high-frequency keys by 15% (Enter, Backspace, Space)
  • Relocated modifier keys to more ergonomic positions based on actual usage patterns
  • Created profession-specific layouts - a "developer edition" with optimized bracket and modifier placement
  • Validated their ergonomic hypotheses with statistically significant real-world data
  • Designed keycap durability based on which keys receive the most punishment

What you'll receive

Heat map visualizations

Color-coded keyboard layouts showing key press frequency distribution across your target user segments. Export as high-resolution images for presentations or raw data for analysis.

Frequency tables

Detailed tables with exact keystroke counts and percentages for every key position. Segment by user type, profession, geography, or keyboard layout.

Key combination analysis

Common key sequences and combinations (e.g., Ctrl+C, Ctrl+V) showing which modifier and shortcut combinations are most prevalent in real-world usage.

Segmented insights

Compare typing patterns across different user groups: developers vs. writers, gamers vs. office workers, Windows vs. Mac users, and more.

Sample data format

Here's an example of the key frequency data you'd receive:

Key Press Count Percentage User Segment
Space 8,847,392 25.6% All Users
E 4,392,847 12.7% All Users
Enter 3,284,923 9.5% All Users
A 2,847,293 8.2% All Users

Privacy guarantee

Aggregated data only

All data is combined across thousands of users. No individual typing patterns are ever shared.

No keystroke content

We track which keys are pressed and how often - never what was typed. There's no way to reconstruct actual text from our data.

Minimum sample sizes

We never provide data from fewer than 1,000 users to ensure complete anonymity and statistical significance.

GDPR compliant

Aggregated, anonymized data is not considered personal data under GDPR. Full compliance with all data protection regulations.

Design better keyboards with real-world data

Stop guessing and start building keyboards optimized for how people actually type. Contact our data partnerships team to discuss your project and get a custom quote.