LEAD 6533 Module 2 Team Effectiveness and Composition Assessment Example

Real Team, Weak Structure: Assessing the Effectiveness and Composition of a Cross-Functional Launch Team

Student Name

American College of Education

LEAD6533: Team and Group Dynamics

Module 2 Assignment

Instructor Name

April 21, 2031

Introduction

My first paper for this course found that the vaccine launch team I lead at Prairie Animal Health, a composite Kansas City company, followed a punctuated pattern: months of polite inertia, then a sharp change at the midpoint of its fourteen-month timeline. Understanding how a team develops does not by itself show whether it is set up to succeed. This paper assesses the team's effectiveness and composition. It defines effectiveness, measures the team against research-based conditions for team performance, examines its composition and psychological safety and identifies the changes most likely to improve results before launch.

Defining Effectiveness

Hackman's work on teams defined effectiveness by three criteria: whether the team's output meets the standards of those who receive it, whether the team's way of working builds its capability to work together in the future and whether the experience contributes to members' learning and well-being. By these criteria, the launch team's output so far is mixed: the regulatory dossier is now on track, but forecasts and production plans have been revised three times. Its capability is improving since the midpoint shift. Members' experience is uneven, with plant-based members reporting frustration.

Conditions for Effectiveness

Rather than focusing on leader behavior in meetings, Hackman's model argues that teams perform well when certain conditions are in place. Wageman et al. (2005) described an instrument, the Team Diagnostic Survey, that measures these conditions: being a real team, with clear boundaries, interdependence and stable membership; a compelling direction; an enabling structure, including the right size and mix, well-designed tasks and clear norms of conduct; a supportive organizational context, including rewards, information and resources; and available expert coaching. They reported evidence that the instrument's scales were reliable and related to team outcomes. All nine members completed the survey in March.

Member Outcomes

The third criterion, members' learning and well-being, deserves separate attention. Interview responses suggest that members from research and regulatory affairs have learned a great deal about commercial planning, which they value. Members from the plant, however, describe the team as extra work with little recognition, and one said she would not volunteer for another launch team. If the team succeeds at launch but leaves members unwilling to serve again, the organization's capability for future launches suffers.

Results: Real Team and Direction

The team scored well on being a real team. Members agreed on who was on the team, and the work is highly interdependent. Stability was the one weakness: two members changed in the first six months when their departments reassigned them. Direction scored highest of all conditions; members described the fall launch as clear, consequential and worth the effort. This finding suggests that motivation is not the team's problem, which matters because leaders often try to fix performance by exhorting teams that are already motivated.

Results: Enabling Structure

Enabling structure scored lowest. With nine members from nine functions, the team is at the upper limit of the size Hackman's research recommends, and members said decisions require too many people. Task design was weak before the midpoint, when work stayed within departments; the new subgroups have improved it. Norms of conduct remain unclear: members disagreed on whether decisions in subgroups bind the whole team and on how quickly to respond to one another's requests. These gaps match the slow early months and help explain why the forecasts kept changing.

Results: Context and Coaching

Organizational context was uneven. Members said they had good access to information but that their performance reviews reward work for their home departments, not for the launch, so team tasks compete with departmental priorities. Plant-based members reported less access to informal information than those at headquarters. Coaching scored low: I spend most of my time on coordination and escalation, and members rarely receive help with how they work together. Hackman and Wageman's broader research suggests coaching helps most when a team's structure and context are sound, which implies fixing structure first.

Composition

Composition concerns not only functional mix but members' attributes. Bell (2007) meta-analyzed research on deep-level composition and found that team averages of conscientiousness and agreeableness, along with collectivism and preference for teamwork, predicted team performance, particularly in field settings, while the effects of variation among members were less consistent. The launch team's functional mix is appropriate for the task, but two members joined reluctantly at their managers' insistence and describe themselves as preferring to work alone. Their limited engagement may weigh on the team more than any skill gap.

Psychological Safety

Edmondson (1999) showed that when members trust that owning up to errors, questioning a plan or asking for help will not cost them standing, the team does more of the seeking, testing and reflecting that learning requires, which in turn supports performance. A seven-item psychological safety measure, completed anonymously alongside the survey, produced a moderate average score, with lower scores from plant-based members and from the two newest members. The label claims dispute that stayed hidden until the midpoint is consistent with low safety: members said they did not want to challenge colleagues from other functions early on.

Priorities for Improvement

The assessment points to four priorities. First, strengthen structure by forming a core team of five members who make cross-functional decisions, with the other four contributing through subgroups, reducing decision load. Second, write explicit norms on decision rights, response times and how disagreements are raised. Third, ask the vice president to add launch contributions to members' performance objectives, aligning context with the task. Fourth, improve psychological safety for plant-based and newer members by rotating meeting locations, inviting their input first and acknowledging well-founded challenges publicly.

Composition Changes

Composition can be adjusted at the margin. The two reluctant members' functions are essential, but their roles can be narrowed to specific deliverables within subgroups rather than full participation in every decision. For the remaining months, I will avoid further membership changes, given the cost of instability already observed. For future teams, I will ask department heads to nominate members who want to work cross-functionally, as Bell's findings suggest preference for teamwork matters.

Limitations

A team of nine produces small samples, so survey scores are best read as patterns rather than precise measures. Members may have answered more favorably because I administered the survey, despite anonymity. And the assessment captures one moment, after the midpoint shift, so it may understate earlier problems. These limits argue for repeating the survey before launch to see whether the changes have worked.

Conclusion

The vaccine launch team is a real team with a compelling direction but a weak enabling structure, an uneven organizational context, limited coaching and moderate psychological safety, especially for plant-based and newer members. Its functional mix fits the task, but two reluctant members reduce engagement. Research on the conditions for team effectiveness, deep-level composition and psychological safety points to a smaller core team, explicit norms, aligned performance objectives and deliberate inclusion. The next module will analyze how the team makes decisions.

References

Bell, S. T. (2007). Deep-level composition variables as predictors of team performance: A meta-analysis. Journal of Applied Psychology, 92(3), 595-615. https://doi.org/10.1037/0021-9010.92.3.595

Edmondson, A. (1999). Psychological safety and learning behavior in work teams. Administrative Science Quarterly, 44(2), 350-383. https://doi.org/10.2307/2666999

Wageman, R., Hackman, J. R., & Lehman, E. (2005). Team diagnostic survey: Development of an instrument. The Journal of Applied Behavioral Science, 41(4), 373-398. https://doi.org/10.1177/0021886305281984