Enterprise AI Measurement Guide
Surveys
Survey List Table
Which surveys are listed, who are they intended for, and what are their response rates?
What it shows
The Survey list table shows every AI productivity survey in the organization's measurement program with seven fields: Survey Name, Status (active, completed, scheduled, or paused), Survey Type, Start date, End date, Audience (who received it), and Response Rate. This is the survey management layer, the view that shows what surveys are running, who they are reaching, and how many employees are responding.
Why it matters
Survey Response Rate is the data quality metric that determines how much weight to give every survey-derived score in the platform. A survey with 14% response rate produces a Survey Score and a Productivity Score Matrix built on a systematically biased sample, the engineers who respond are not representative of those who don't. CHROs and CIOs making investment decisions based on survey data need the response rate prominently visible, not buried in methodology footnotes. The Survey list table surfaces it as a primary field alongside the survey itself.
The Larridin angle
The Status and Audience columns together enable survey program management as an ongoing operational practice rather than a one-time measurement effort. An AI productivity survey that runs quarterly, with Audience set to the full engineering org and Status currently showing 34% response rate in week two, is a survey program that can be actively managed, timing reminders, adjusting audience scope, or addressing barriers to completion, rather than a survey that is simply deployed and then reported on after the fact.
Related Surveys Metrics
Common questions
What information does the Survey List Table provide?
The Survey List Table provides details on AI productivity surveys, including their name, status, type, start and end dates, audience, and response rates.
Why is the survey response rate important for the C-suite?
The survey response rate is crucial as it affects the reliability of survey-derived scores, helping CHROs and CIOs make informed investment decisions.
How does the Survey List Table aid in survey management?
It allows for ongoing management by showing survey status and audience, enabling adjustments and timely interventions to improve response rates.
What can be inferred from a survey with a low response rate?
A low response rate indicates a potentially biased sample, as the responding engineers may not represent the entire group, affecting the survey's reliability.