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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.
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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.
Keystroke-Level Model Analyzer was featured in Chrome Extensions (52.7k followers), Design Tools (260.7k followers) and User Experience (366k followers) on Product Hunt. Together, these topics include over 82.8k products, making this a competitive space to launch in.
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.
Want to see how Keystroke-Level Model Analyzer stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Parin Norasetpakdi