We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Quiet-Eye Period
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > The Quiet-Eye Period
AnalyticsBest PracticesCommentaryDecision Management

The Quiet-Eye Period

MIKE20
MIKE20
4 Min Read
The Quiet-Eye Period
Photo by Saranya7 on Pixabay (https://pixabay.com/photos/woman-pain-period-portrait-female-6080984/)
SHARE

In Why We Make Mistakes: How We Look Without Seeing, Forget Things in Seconds, and Are All Pretty Sure We Are Way Above Average, Joseph T. Hallinan writes about the quiet-eye period. He writes

Contents
  • Simon Says
  • Feedback

the amount of time needed to accurately program motor responses. It occurs between the last glimpse of our target and the first twitch of our nervous system. Researchers have documented expert-novice differences in quiet-eye periods in a number of sports, ranging from shooting free throws in basketball to shooting rifles in Olympic-style competition. The consistent finding is that experts maintain a longer quiet-eye period. (emphasis added)

Fascinating stuff.

I thought about this quote in the context of a recent consulting engagement on which I was bidding. Call the potential client Company X here. To make a long story short, Company X is a very large organization with more than 10,000 active employees that needs to upgrade its time and attendance system by the end of the this year. On a conference call discussing the project, we eventually got to arguably the key question: How long is this going to take?

More Read

How Open is Too Open?
How Open is Too Open?
The Vast Majority of Analytics is Still Reporting (And That’s Not So Bad)
Data Analytics Proves Benefits of Strategic Domain Use
9 Amazing Ways Big Data Is Used Today to Change the World
The opportunity for opportunity analytics

It’s the point at which many consulting firms throw out a low number because it’s safer–and the firm is more likely to get the deal. Less scrupulous firms do this and then hit up their clients for change requests after the project has begun in earnest. Before long, chairs are being tossed in conference rooms.

More scrupulous consultants (and I firmly put myself in this category) maintain longer quiet eye periods. We know that the answer to “How long?” hinges to a great extent on client data and related subquestions:

  • How much information needs to be converted or migrated?
  • How much information needs to be cleaned?
  • How accurate is the information?
  • How comprehensive is the information?
  • In how many different places is that information?

Only after these questions can be answered can good consultants realistically estimate the amount of time, effort, and money involved in an information management (IM) project.

To its credit, Company X didn’t balk when I said that, after a one hour call, I couldn’t possibly estimate the project’s length and, by extension, cost–at least in an accurate manner. I would know more when I know more. (Yes, this is reflexive but completely on-point.)

Company X liked that answer and I’ll be starting the gig soon.

Simon Says

Organizations should be wary when consultants’ quiet eye periods on IM projects seem short. If it seems too good to be true, then it probably is.

Moreover, how do we know what we don’t know? To be sure, taking months to provide a quote or estimate is probably excessive, especially when the organization is facing critical deadlines. By the same token, however, anyone who can answer big and unwieldy questions in a few seconds really isn’t an expert at all. As such, the organization should go in a different direction.

Feedback

What say you?

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article is about modernizing legacy software incrementally without stopping live operations. A t
7 Top Legacy Software Modernization Companies in Europe for 2027
Exclusive Software
Flat editorial illustration: The article weighs control and privacy from self-hosting against analytics depth and the server capa
4 Best Self-Hosted Analytics Solutions
Big Data Business Rules
Flat editorial illustration: A tech-editorial depiction of contextual re-identification risk in linked unstructured support recor
Stripping the Names Isn’t Enough: De-Identifying Unstructured Data
Exclusive Unstructured Data
Flat editorial illustration: The article connects practical management of local data, memory and software environments with direc
How Data Professionals Optimize Devices for AI and ML Projects
Artificial Intelligence Data Science Exclusive Machine Learning

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Technology Project Nightmares
Best PracticesBusiness IntelligenceCulture/LeadershipData ManagementInside CompaniesIT

Technology Project Nightmares

5 Min Read
PAW/TAW – The Most Important Influencers in Analytics
AnalyticsPredictive AnalyticsText Analytics

PAW/TAW – The Most Important Influencers in Analytics

4 Min Read
data-driven tools for website testing
Analytics

5 Proven Tips To Use Analytics to Improve Your Website in 2021

15 Min Read
What Qualities are Needed to Be a Web Analyst?
AnalyticsJobsSocial Media AnalyticsWeb Analytics

What Qualities are Needed to Be a Web Analyst?

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?