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Keystroke-Level Model Analyzer
Objective UX task analysis, powered by classic HCI
Keystroke-Level Model Analyzer helps designers evaluate web task flows with classic HCI rigor. Inspired by Card, Moran, and Newell, this Chrome extension records a known task and turns it into an auditable KLM estimate: expert time, operator counts, bottlenecks, and step-by-step trace.
I built Keystroke-Level Model Analyzer for designers who want a more objective way to analyze UX flows.
KLM is a classic HCI method, but using it manually can feel slow and disconnected from modern product work. This extension lets you perform a real web task and turns the interaction into an auditable estimate: time, operators, bottlenecks, and trace.
The goal is not to replace judgment. It’s to give designers a sharper artifact for discussing flow efficiency, tradeoffs, and where interaction cost actually comes from.
About Keystroke-Level Model Analyzer on Product Hunt
“Objective UX task analysis, powered by classic HCI”
Keystroke-Level Model Analyzer was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #157 on the daily leaderboard. Keystroke-Level Model Analyzer helps designers evaluate web task flows with classic HCI rigor. Inspired by Card, Moran, and Newell, this Chrome extension records a known task and turns it into an auditable KLM estimate: expert time, operator counts, bottlenecks, and step-by-step trace.
On the analytics side, Keystroke-Level Model Analyzer competes within Chrome Extensions, Design Tools and User Experience — topics that collectively have 679.3k followers on Product Hunt. The dashboard above tracks how Keystroke-Level Model Analyzer performed against the three products that launched closest to it on the same day.
Who hunted Keystroke-Level Model Analyzer?
Keystroke-Level Model Analyzer was hunted by Parin Norasetpakdi. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Keystroke-Level Model Analyzer including community comment highlights and product details, visit the product overview.
Parin Norasetpakdi