Predicting job performance using mobile sensing
https://ieeexplore.ieee.org/document/9596583 We hypothesize that behavioral patterns of people are reflected in how they interact with their mobile devices and that continuous sensor data passively collected from their phones and wearables can infer their job performance. Specifically, we study day-today job performance (improvement, no change, decline) of N=298 information workers using...
Six rules of hiring for growth
https://www.lennysnewsletter.com/p/hiring-growth Rule 1: Growth model before growth Great products have incredible product-market fit—they have correctly proved a compelling value hypothesis that describes why a customer is likely to use the product. Great companies, on the other hand, have product-market fit coupled with a strong growth model—predictable, sustainable, and defensible strategies...
A method for measuring analytical work
https://benn.substack.com/p/method-for-measuring-analytical-work He who hesitates is lost The moment an analyst is asked a question, a timer starts. When a decision gets made based on that question, the timer stops. Analysts’ singular goal should be to minimize the hours and days on that timer. That’s the only metric we should measure...
Adaptive staircase research papers
k-up 1-dn staircase Adaptive procedures in psychophysical research (Leek, 2001) Determining thresholds using adaptive procedures and psychometric fits: evaluating efficiency using theory, simulations, and human experiments (Karmali et al., 2016) To find efficient adaptive algorithms for psychometric threshold (“sigma”) estimation, we combined analytic approaches, Monte Carlo simulations and human experiments...
Gorilla, gamified research series
https://gorilla.sc/category/insights/gorilla/game/ Investigating Language Development What people were doing was going straight from what was done with adults to doing it with children the same way, and it was incredibly boring! You needed an awful lot of trials and you had these adaptive procedures where it got harder as you went...
Automated machine learning on the M5 forecasting competition
https://techcommunity.microsoft.com/t5/azure-ai-blog/automated-machine-learning-on-the-m5-forecasting-competition/ba-p/2933391 We announce here that Microsoft’s Automated Machine Learning, with nearly default settings, achieves a score in the 99th percentile of private leaderboard entries for the high-profile M5 forecasting competition. Customers use Automated Machine Learning (AutoML) for ML applications in regression, classification, and time series forecasting. For example, The Kantar...
User retention and churn engineering github repos
Retention engineering: Retentioneering is a Python framework and library to assist product analysts and marketing analysts as it makes it easier to process and analyze clickstreams, event streams, trajectories, and event logs. You can segment users, clients (agents), build ML pipelines to predict agent category or probability of target event...
Extension request avoidance predicts greater time stress among women
https://www.pnas.org/content/118/45/e2105622118 In nine studies using archival data, surveys, and experiments, we identify a factor that predicts gender differences in time stress and burnout. Across academic and professional settings, women are less likely to ask for more time when working under adjustable deadlines (studies 1 to 4a). Women’s discomfort in asking...
How the modern data stack is reshaping data engineering
https://preset.io/blog/reshaping-data-engineering/ Major trends affecting data engineers In this post, I’m going to highlight the major trends in the modern data ecosystem and how they are affecting the data engineering role. Note that the goal here is to go wide and shallow and cover a lot of trends at a super...
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a collection of excerpts from interesting research, blogs, events, etc...