Socratic

Intelligent task management for modern software teams

5.0
4 reviews

385 followers

Socratic unifies task management with productivity intelligence, to show you how well you work and why, with real-time data to guide your daily decisions to their best result.
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Launch Team

What do you think? …

Brad Hipps
Socratic started from a single, lasting frustration. Every task tool we've ever used was high tax, low return. In those tools, you do all the data entry, and then you do all the sorting, sifting, and spelunking to try to understand the state of work. We wondered: what if we flipped the equation? What if we made a task system that works for you? What if we built something that wasn't just Jira with nicer lipstick, something that was much more than (as one early Socratic user described Jira), "A form UI over a database that tells me nothing about the way we work"? Enter Socratic. Socratic harnesses your work activity and shows ways of working easier, faster, better—all with no manual inputs. Your daily activity drives Socratic's insights; real-time insights drive stronger work health. Think of it as a fitness tracker for teams. What does this mean, practically? A few examples: ✅ Rather than tying up engineering cycles debating story points or t-shirt sizes—time-consuming work that's inevitably wrong—estimated effort is delivered automatically based on historical actuals by person and type of work. ✅ Instead of explaining the amount of work on your plate (something that may change daily), we compute and show in real-time the work distribution for you and your teammates. ✅ In place of debating and guesstimating when work will finish, Socratic renders an intelligent forecast, based on historical actuals, workloads, and a range of other variables not otherwise available to the human eye. ✅ For executive or board meetings, product and engineering leaders graduate from pivot tables and hand-rolled reports to instant, benchmarked performance data and recommendations, based on trends over the previous months, quarters, or years. The past decades have been about engineering automation (DevOps, etc.). This decade will be about engineering intelligence. Here's that beginning. Keen to hear feedback!
Costi Constantin
@bradhipps Congratulation! "This decade will be about engineering intelligence. Here's that beginning. Keen to hear feedback!". Very interesting! The very best of luck!
Lina Lina
@bradhipps ongratulation!
Duncan Coleman
Thanks @lina_lina3!
Pratham Nandha
Comment Deleted
Duncan Coleman
Hi @prathamnandha thanks! And yes Socratic looks at the historic performance at both an organisational level and at the level of individual contributors before estimating task delivery.
Brad Hipps
@prathamnandha Indeed! And other variables too--the amount of blocking work, how old the task is... lots of stuff for data science to feast on!
Nolan Wright
@prathamnandha - great question. As Brad said, we use a number of variables to determine personalized estimates, and this will continue to evolve over time
Robert Crabbs
@prathamnandha We measure each team members' throughput in task-hours/week. This metric (and others!) feed directly into our forecasting models. But it can also be used to assess the growth of a team member's productivity & skill over time.
Richard Gao
Always hate estimating, so this is going to be useful!
Nolan Wright
@richard_gao2 - we feel the same. it's time consuming and often not accurate, so why not use historical data and data science to do the job.
Brad Hipps
@richard_gao2 plus one, here. Major plus one. Make it the machine's problem, not mine!
Michelle Miller
@richard_gao2 Definitely my favorite feature of Socratic!