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3 min read

Standardised Pours Without Becoming the Pour Police

Same numbers, opposite outcomes, depending entirely on who the finding is addressed to.

Matty HerreraBy Matty Herrera, Founder & CEO, Delta Kinetics

Published Updated

Delta Kinetics title card for the article Standardised Pours Without Becoming the Pour Police
On this page
  1. Key takeaways
  2. What do people do when they are measured badly?
  3. The reframe that makes it survivable
  4. Three rules that keep it fair
  5. Where should the measurement sit?
  6. The honest limit
  7. Frequently asked questions
  8. Sources

Key takeaways

  • Pour standards work when the finding is about the drink, not the bartender, and fail when they are introduced as surveillance.
  • People measured as individuals manage the signal rather than the behaviour, which leaves a number giving false comfort.
  • Most pour drift comes from busy periods, new starters, missing pourers and unagreed recipes, not one careless person.
  • Keep the standard visible to everyone, explain it as the point where the drink is correct, and give feedback inside the week.
  • Measure by product and shift, not by person, and aim for a band you have chosen rather than perfect consistency.

Frequently asked questions

How do I bring in pour standards without my bartenders feeling watched?

Make the drink the unit of the conversation rather than the bartender. Say which spirit drifted, on which nights, roughly what it cost, and what the remedy is, addressed to the bar as a whole. The same information aimed at a person reads as surveillance.

Why not just rank bartenders by how heavy they pour?

A ranking raised in a one to one tells the bartender they are being watched, and they start optimising for the measurement rather than the drink. Pours tighten when a manager is on the floor and revert when they are not, comps get logged as something else, and waste stops being reported. The number improves while the behaviour does not.

What if one bartender really is the problem?

If a specific individual is genuinely the cause, the pattern will be obvious from the shift data without anyone building a leaderboard to find it. It can then be handled as the exception it is. Starting from the product and occasionally landing on a person is a quality programme, while starting from the person is a monitoring programme.

How quickly should I give feedback on pour drift?

Inside the week, while people can still recall the nights. Feedback that arrives a month later cannot be connected to anything anyone remembers doing, so it reads as an accusation about a period rather than a correction about a shift.

Can I get rid of pour drift completely?

No. Free pouring varies, busy services vary, and a bar that demands perfect consistency from people will lose the people. The realistic goal is a band you have chosen rather than a band that chose itself.

Sources

  1. Ravid, White, Tomczak, Miles and Behrend, George Washington University: A Meta-Analysis of the Effects of Digital Surveillance of Workers (preprint of their 2023 Personnel Psychology meta-analysis)
  2. Pierce, Snow and McAfee (2015), Cleaning House: The Impact of Information Technology Monitoring on Employee Theft and Productivity, Management Science 61(10)