Data Collection Frequency

A. QWLC Position Regarding Survey Data Collection Activity.

Integrating survey data collection and follow-through activity into the same rhythm as financial activity is essential to a reliable change effort. Financial data is collected and reported with the most consistent frequency: MONTHLY – QUARTERLY – ANNUALLY at a minimum. In large organizations HOURLY - SHIFT - DAILY - WEEKLY reporting are of equal importance. An organization's Quality of WorkLife is the single most important and always the first element in determining the profitability of an organization over the long-term yet its frequency is typically irregular. The Quality of WorkLife Index is the fundamental measurement that will determine if the organization as capable of fulfilling its purpose and missions, and achieving its vision.

B. A Typical Scenario for First-time Survey Users.

Once data is fed back to the organization, Teams are formed to deal with the issues that emerged in the survey results. The Teams often flounder for lack of specific training in "how to change an organization's cultural capacity - cultural performance." A dysfunctional belief that "If people knew better they'd do better!" leads leaders and managers to settle for training or informing the appropriate people with the expectation that improvements will be made. What really happens more often is that habits embedded in the culture quickly return the organization to the way it was before data collection efforts were initiated. Teams whither. Raised expectations fall - typically to a level below the baseline. When the time comes to conduct the annual checkup, responsible individuals often want to delay data collection because they believe survey results will be poor. Such delays are noticed. Last minute attempts to respond to old data are typically transparent to the workforce and mark another reason for a potential drop in scores.

We compare this scenario with individual health checkups. Any medical professional will suggest that checkups be conducted on an annual schedule. Few would give advice to delay taking the physical while last ditch efforts are made to loose weight, and correct a habitually poor diet. The annual checkup is used to measure progress AND discover any additional irregularities needing attention. The annual checkup is used to reset priorities.

C. The Nature of Periodic Activity.

It is essential that the survey processing frequency match the financial reporting cycle in order to share equally high credibility and feed into the decision-making processes with equal significance. With this synchronized "rhythm" in mind, the following schedule is recommended:&&

1. ANNUALLY. Whatever month initiates the collection of Baseline survey data ought to be the same month that annual checkups occur. At minimum, there ought to be visible activity (described below) surrounding the anniversary of the Baseline data collection effort with regard to the annual checkup.

2. QUARTERLY. No less frequently than once each calendar Quarter a "Metric" data collection effort ought to occur. The "Metric" collects abbreviated data from the organization in order to answer the question, "What progress are we making toward our strategic goals?"

3. MONTHLY. Several things ought to be scheduled and conducted/completed each month:

4. WEEKLY or with SENIOR STAFF MEETING REGULARITY. Weekly or the period between regular senior staff meetings the following activities ought to occur:

D. Top Ten Most Frequent Mistakes.

1. Failure to treat Quality of WorkLife data collection efforts as an on-going workforce-health requirement. Living systems fall into disarray automatically if attention is not paid to potential capacity-loss issues (Review the concept of entropy, and the application of Hubble's Law to organizational dynamics).

2. Failure to believe that the same leaders and managers who helped create the culture will need assistance in significantly improving that culture. Leaders often make the mistake of believing that managers and supervisors "own" the culture of their work groups and therefore can change that culture to a more productive capacity without assistance.

3. Failure to effectively and officially charter Teams to correct systemic issues surfaced by survey data. Officially chartering Teams to further investigate and help solve organizational problems surfaced by data collection efforts is an essential ingredient in improving an organization's performance.

4. Failure to keep minimal Team meeting records. Records allow senior managers to judge the effectiveness of the Teams they have chartered.

5. Failure to integrate data collection and follow-through activity into the routine of conducting business. If workforce measurements are considered "extra" rather than part of the routine of the way the organization operates, far less attention will be paid to finding and fixing problems that rob the organization of its ability to innovate and synergize. Innovation and synergy are required to get more done with fewer people, and to solve problems before they have menacing results.

6. Failure to calculate the value of NOT correcting the dysfunction embedded in the organization culture. Collecting data that will help determine the capacity of a workforce and the cost to restore "Ideal" capacity if it is lacking helps establish organizational priorities.

7. Failure to "clinic" each Event and each Team Meeting, and apply those learnings to future endeavors. To maintain a brisk schedule of learning and adaptation, an organization must have a brisk schedule of data collection events and meetings. The "clinic" process (what went well AND what do we need to change) is the single best hedge against repeating mistakes.

8. A preoccupation with comparisons to data from similar organizations – benchmarking. Members of an organization care little about comparisons between themselves and other similar organizations when the difficulty they encounter each day at work is real and not virtual.

9. A failure of middle management to sanction the data as credible. Rather than validate that the data collection effort is reliable and credible, too often managers, feeling too personally threatened by the data, tend to discount it. Continuously collecting data diminishes attempts to discount survey results. Having a long-term perspective also weakens of eliminates the tendency to install a "quick fix" and return to "as usual" operations.

10. A failure to feed back progress to the workforce on a routine monthly basis. Members of the workforce regain confidence in managers over extended periods of time. Regular feedback on what is being done, by whom, and how the effort will ultimately benefit them is an imperative to improved performance.

Summary

All organizations use numbers to detect problems so that low cost solutions can be engaged before costs rise. Data falls into one of two categories: it is lagging if the data reports conditions that have already occurred, or it is leading if the data reports conditions that influence conditions that are not yet complete. Financial data provides a lagging warning system that costs have risen, revenue is down, or repair bills for older equipment forces capital improvement considerations. Attendance data, also a lagging indicator, may indicate that an employee requires counseling. Quality checks along the product line, again a lagging indicator, may surface errors in vital process that cannot be ignored.

Workforce capacity indicators like the Leadership Cohesion Index, Quality of WorkLife Index, or Band Distribution Index; all leading indicators, forewarn that a problem may exist and require attention before they further degrade conditions. These "soft" indicators are none-the-less real and reliable, yet far more difficult to resolve. One of the most dangerous myths that emerge in change management initiatives is the notion that "If people knew better they'd do better." Underlying this myth is the assumption that once the data has been fed back to the organization change will happen as a matter of course. Nothing is further from the truth. If this myth and underlying assumption were true, the presence of weight data would cause over-weight people to become slender, the presence of tobacco-use data would cause people to quit smoking, and the knowledge of addictive behaviors would yield recovery. Something dramatic has to happen to make the shift!

To change an organization's capacity at least two commitments have to be made and action taken on those commitments: regular measurements, and aggressive follow-through. The topic of this paper addresses the first and most important of these two commitments. Without a commitment to regular measurements it is highly unlikely that a commitment will be made to aggressive follow-through. Delaying, for example, the annual financial reports to February 18th from December 31st for the sake of showing an improved condition would signal an enormous loss of credibility, and an increase in suspicion. The danger in taking such liberties with "soft" data is even more devastating.

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