This post is adapted from a panel talk for AI Week, Empowering OSU: Stories of Harnessing Generative AI for Impact in Staff and Faculty Work

This past spring marked one year in my role as an instructional designer for Ecampus. Like many of our readers, I started conversing with AI in the early months of 2023, following OpenAI’s rollout of ChatGPT. Or as one colleague noted in recapping news of the past year, “generative AI happened.” Later, I wrote a couple of posts for this blog on AI and media literacy. A few things became clear from this work. Perhaps most significantly, in the words of research professor Ethan Mollick: “You will need to check it all.”

As the range of courses I support began to expand, so did my everyday use of LLM-powered tools. Here are some of my prompts to ChatGPT from last year, edited for clarity:

  • What is the total listening time of the Phish album Sigma Oasis?
    • Answer: 66 minutes and 57 seconds
  • How many lines are in the following list of special education acronyms (ranging from Section 504 – the Rehabilitation Act – to TBI – Traumatic Brain Injury)?
    • Answer: 27 lines
  • Where is the ancient city of Carthage today?
    • Answer: Today, Carthage is an archaeological site and historical attraction in the suburbs of the Tunisian capital, Tunis.
  • What is the name of the Roman equivalent of the Greek god Zeus?
    • Answer: Jupiter, king of the gods and the god of the sky and thunder
  • What’s the difference between colors D73F09 and DC4405?
    • Answer: In terms of appearance, … 09 will likely have a slightly darker, more orange-red hue compared to … 05, which might appear brighter. (Readers might also know these hues as variations on Beaver Orange.)

And almost every day:

  • Please create an (APA or MLA) citation of the following …

The answers were often on point but always in need of fact checking or another iteration of the prompt. Early LLMs were infamously prone to hallucinations. Factual errors and tendencies toward bias are still not uncommon.

As you can sense from my early prompts, I was mostly using AI as either a kind of smart calculator or an uber-encyclopedia. But in recent months, my colleagues and I here at Course Development and Training (CDT)—along with other units in OSU’s Division of Educational Ventures (DEV)—have been using AI in more creative and collaborative ways. And that’s where I want to focus this post.

The Partnership

First, some context for the work we do at DEV. Online course development is both a journey and a partnership between the instructor or faculty member and any number of support staff, from training to multimedia and beyond. Anchoring this partnership is the instructor’s working relationship with the instructional designer—an expert in online pedagogy and educational technology, but also a creative partner in developing the online or hybrid course.

Infographic showing the online course development process, from set up, to terms 1-2 in collaboration with the instructional designer, to launch and refresh.
Fig. 1. Collaboration anchors the story of online course development at OSU (credit: Ecampus).

Ecampus now offers more than 1,800 courses in more than 100 subjects. Every course results from a custom build that must maintain our strong reputation for quality (see fig. 1). This post is focused on that big circle in the middle—collaboration with the instructional designer. That’s where I see incredible potential for support or “augmentation” from generative AI tools.

As Yong Bakos, a senior instructor with the College of Engineering, recently reminded Faculty Forum, modern forms of this technology have been around since the 1940s, starting with the influence of programmable computers on World War II. But now, he added—in challenging faculty using AI to figure out rapid, personalized feedback for learners—”we speak the same language.”

Through continued partnership, how do we make such processes more nimble, more efficient? What does augmentation and collaboration look like when we add tools like Copilot or a custom GPT? Many instructional designers have been wrestling with these questions as of late.

“Human Guided, but AI Assisted”

Here are a few answers from educators Wesley Kinsey and Page Durham at Germanna Community College in Virginia (see fig. 2). Generative AI—also known as GAI—is a powerful tool, says Kinsey. “But the real magic happens when it is paired with a framework that ensures course quality.”

Slide on
Fig. 2. From a recent QM webinar on “unleashing” generative AI (CC BY-NC-ND).

Take this line of inquiry a little farther, and one starts to wonder: How might educators track or evaluate progress toward such use cases?

Funneling Toward Augmentation

As a thought experiment, I offer the following criteria and inventory—a kind of self-assessment of my own “human guided” journey through course development with generative AI (see fig. 3).

Criteria for Augmenting Development with Generative AI

ESTABLISHED – Regular, refined practice in course development
— EMERGING – Irregular and/or unrefined practice, could be improved
— ENVISION – Under consideration or imagined, not yet practiced

Faculty with experience teaching online may find my suggested criteria familiar; “established, emerging, envision” is adapted from an Ecampus checklist used in course redevelopment.

Funnel-shaped infographic with five augmentations: (1) From set up to intake; (2) Course content; (3) Suggested revisions; (4) Discussion, planning, and review; (5) Building and rebuilding
Fig. 3. Self-assessment of augmenting development with generative AI (CC BY-NC-SA).

Augmentation 1: From Set Up to Intake

Broadly speaking, I’m only starting to use chatbots in kicking off a course development—to capture a bulleted summary of an intake over Zoom, for example. Or with these kinds of level-setting prompts:

  • Remind me, what is linear regression analysis?
  • What fields are important to physical hydrology?
  • Explain to a college professor the migration of a social annotation learning tool from LTI 1.1 to 1.3.

Augmentation 2: Course Content

In my experience, instructors are only now beginning to envision how they might propose a course or develop its learning materials and activities with support from tools like Copilot—which is increasingly adept at helping us with this kind of iterative brainstorming work. The key here will be getting comfortable with practice, engaging in sustained conversations with defined parameters, often in scenarios that build on existing content. In recent practice with building assignments, I’m finding Claude 3 Sonnet helpful—more nuanced in its responses, and because you can upload brief documents at no cost and revisit previous chats.

Screenshot of conversation with Copilot, starting with a request to create an MLA citation of a lecture by Liam Callanan at the Bread Loaf Writers' Conference
Fig. 4. From a “more precise” conversation on citation generation. Can you spot Copilot’s errors in applying MLA style?

Augmentation 3: Suggested Revisions

Once course content begins rolling in, I apply more established practices for augmentation. For building citations of learning materials, I’m using Copilot’s “more precise” mode for its more robust abilities to read the open web and draw on various style guides (see fig. 4). With activities, often the germ of an idea for interaction needs enlargement—a statement of purpose or more detailed instructions. Here are a few more examples from working with the School of Psychological Science, with prompts edited for brevity:

  • What would be the purpose of practicing rebus puzzles in a lower division course on general psychology?
  • Please analyze the content of the following exam study guide, excerpted in HTML. Then, suggest a two-sentence statement of purpose that should replace the phrase lorem ipsum.
  • How should college students think about exploring Rorschach tests with inkblots? Please suggest two prompts for reflection (see fig. 5.)
Screenshot of Week 6 - Reflection Activity - Rorschach Inkblot Test, including a warning about the limitations of Rorschach tests and prompts for reflection
Fig. 5. From an augmented reflection activity in PSY 202H, General Psychology (credit: Juan Hu).

Augmentation 4: Discussion, Planning & Review

As with course planning, I’m not quite there yet with using generative AI to shape module templates and collect preferred settings for the building I do in Canvas. But by next year—armed perhaps with a desktop license for Copilot—I can imagine using AI to offer instructors custom templates or prompts to accelerate the design process. One more note on annotating augmentation—it’s incredibly important to let my faculty partners know—with consistent labeling—when I’m suggesting course content adapted from a conversation with AI. Most often, I’m not the subject matter expert—they are. That rule of thumb from Ethan Mollick still holds true: “You will need to check it all.”

Augmentation 5: Building & Rebuilding—More Efficiently

Finally, I look forward to exploring opportunities for more efficiently writing and revising the code behind everything we do with support from generative AI. Just imagine if the designer or instructor could ask a bot to suggest ways to strengthen module learning outcomes or update a task list, right there in Canvas.

Your Turn

With the above inventory in mind, let’s pause to reflect. To what extent are you comfortable using generative AI as a course developer? In what ways could this technology supplement new partnerships with instructional designers—or other colleagues involved in the discipline you teach? Together, how would you assess “augmentation” at each stage of the course development process?

Looking back on my own year of “human guidance with AI assistance,” I now turn more reflexively to AI for help with frontline design work—even as our team considers, for example, the ethical dimensions of asking chatbots to deliver custom graphics for illustrating weekly modules. In other stages, I’m still finding my footing in leveraging new tools, particularly during set up, refresh, and redesign. As we continue to partner with faculty, I remain open to navigating the evolving intersection of AI and course development.

(And now, for fun: Can you spot the augmentation? How much of that last sentence was crafted with support from a “creative” conversation with Copilot? Find the answer below.)

Resources, etc.

The following resources may be helpful in exploring generative AI tools, becoming more fluent with their applications, and considering their role in your teaching and learning practices.

In my last post, I wrote about how designing an ‘open course‘ empowers others to make desired edits more easily. One major component of an open course is providing adequate and accurate documentation for your intended audience. If you were handed a course to teach or redesign, what aspects about the course would you like to know? Probably as much as possible, which would require a strong set of documentation detailing design processes and decisions, learning outcomes, tutorials for using novel course elements, and so on. If you care about having a solid set of documentation for your courses, then you may be a ‘Documentarian‘. In this post, I look into some components of good documentation design from the software field, and apply them to instructional design.

Informing the recommendations of this post are the Documentation Principles of Write the Docs, a “global community of people who care about documentation”. As described by the Write the Docs authors, their set of principles:

“seeks to define similar standards for software documentation that, when practiced, will foster clean and intuitive content”

https://www.writethedocs.org/guide/writing/docs-principles/#documentation-principles

While software is the stated primary purpose of these principles, much of it is applicable across a wider range of subjects, with aspects of instructional design (such as design and code choices) falling into similar categories.

Why is documentation important?

Every Instructional Designer will work with many different people, known as stakeholders, across every project. The stakeholders of a project fulfill different roles and have distinct requirements. Fellow Instructional Designers, eLearning Developers, Middle and Senior Managers, Subject Matter Experts, and the learners themselves are all examples of stakeholders with different needs and roles. Each of the stakeholders on any particular project will require a certain level of documentation matching their needs. Use of an external tool, for example warrants instructions for how to incorporate the tool into an LMS and its functions for designers, but also instructions on how to use the tool as a user for the learners on the course.

Perhaps some of the most important people to consider when designing a course are the ones who will inherit it later on when the original designers have moved onto other projects. Because of this inevitability, proper documentation is key to understanding how a course was designed, the original intended audience or needs analysis (in case any prerequisite courses are changed in a way that breaks the flow of this one – example: switching from one programming language to another in the classes leading up to this, resulting in it not being fit for purpose), decisions made and why they were taken, how certain features work, just to name a few.

With these reasons for well-structured documentation in mind, what should designers include in documentation? For that, Write the Docs has some advice.

Write the Docs breaks down “good documentation” into multiple components. The full explanation of each can be found on their Documentation Principles page. Here, I will just use the summary of each one from the page.

The components state:

Documentation should be:

Precursory
Begin documenting before you begin developing.
Participatory
In the documentation process, include everyone from developers to end users.

The content (meaning how documentation is written) should be:

Arid
Accept (some) Repetition In Documentation.
Skimmable
Structure content to help readers identify and skip over concepts which they already understand or see are not relevant to their immediate questions.
Exemplary
Include (some) examples and tutorials in content.
Consistent
Use consistent language and formatting in content.
Current
Consider incorrect documentation to be worse than missing documentation.

Sources (meaning where content creators store documentation) should be:

Nearby
Store sources as close as possible to the code which they document.
Unique
Eliminate content overlap between separate sources.

Each publication (meaning the end product that users see) should be:

Discoverable
Funnel users intuitively towards publications through all likely pathways.
Addressable
Provide addresses to readers which link directly to content at a granular level.
Cumulative
Content should be ordered to cover prerequisite concepts first.
Complete
Within each publication, cover concepts in-full, or not at all.
Beautiful
Visual style should be intentional and aesthetically pleasing.

A documentation body should be:

Comprehensive
Ensure that together, all the publications in the body of documentation can answer all questions the user is likely to have.

Documenting course designs

Taking the above principles, which were initially designed for software, as a guide, we can see how they would fit into the field of instructional design.

General ideas

The principles of documentation being precursory and participatory are simple to follow, especially if one takes on a project management role in course design. Intake meetings and early plans are the first steps to crafting course design documentation. It is at this stage that the initial course design plans are mapped out by the stakeholders on the project. This includes Designers, Faculty, Project Managers and Product Owners (if these are separate people), to name a few. The initial plans for learning outcomes, assessments, and general ideas for activities on a more granular scale can all be converted into documentation on the structure of the course. These would usually fit into a ‘Design Solution’ document that gives an overview of how higher level course decisions are put into practice, or at least intended to be, once the course is running. An ID and the rest of the course design team could revisit this documentation during an evaluative stage to see if things were still going to plan, or modify it based on feedback.

Intended learner journey

I use the phrase “learner journey” a lot, but I am not entirely sure how well known it is, nor if I am using it in a standard way. So for this instance, my meaning of “learner journey” is the following: How the course developer is expecting the learner(s) to interact with the course site. This includes things such as: what learners are expected to click on when reaching the course landing page, the order in which they are expected to complete modules, how assignments are completed, etc. There is room here for interpretation, but it does not hurt to note the intended learner interactions and progression through a course. That way, other faculty members who may be teaching the course in the future can quickly understand learner progression too. This could take the form of a more technical document for fellow instructors, and a quick video for students (or more, depending on how in-depth you wish to go in the learner-facing side of things).

As an Instructional Designer, I often take on the role of the learner sometime during a course development. I will set out a specific meeting time with a faculty member to go through how I would approach this content as a learner, and ask them if this was an intended way for the learners to interact with the content. I usually start by following the order of the module, which is usually set up in the order a learner should complete tasks. What happens, though, if a learner decides that they are just not going to bother reading the Overview page for that week (or any week) and skips right to the Assessments? Is there anything preventing the learner from completing an assignment before they know important background information? Maybe some sort of purpose statement would help (e.g. “This assignment will test your knowledge of learning materials for Week 3. You should complete this week’s background reading tasks before submitting your work.”)?

Content, or how documentation is written

Most Instructional Designers will know about how to make a page more readable by including headings, descriptive hyperlinks, and other stylized formatting like ample paragraph breaks and correctly set up list items (ordered and unordered, for example). If you can create documentation in this way, it meets the skimmable principle and helps readers quickly identify the section they are looking for. I would also recommend adding a unique ID to each distinct section of each page so readers can quickly jump to it using a navigation menu. To find out more about this, see the W3Schools HTML id Attribute page. Once these are set up, you can link anyone to a specific part of the page.

In the previous article on designing the open course, I included a section on the “Side by Side Code Block Tutorials” I use to demonstrate new and complex course elements. This aims to hit the exemplary principle, as it gives readers a quick example of how certain elements work and how to manipulate them in the future.

Video tutorials

Video tutorials are another way to give examples using a step by step process, and provide an additional level of personalization that is often missing from text-only tutorials. There are some downsides to video tutorials, however, which may influence the decision to create them.

Each of the following involve the time commitment required to create videos in the first place, and the principle of staying current.

  1. Scripting and editing
    • Usually a video tutorial, or series of videos, involves scripting what the person giving the tutorial is going to say. With written documentation, this would usually be the end of the process – but with videos, it is only step one. The written form then needs to be spoken, correctly, and edited to make sure any mistakes are removed or audio synched up with what is happening on the screen.
  2. Editing mistakes or changes
    • It advisable before creating a video tutorial to check if the procedure, process, or system is going to remain in place for long enough to make the time investment making a decent tutorial video worth it. It is a lot easier to change text-based tutorials when something changes than record another video. Additionally, videos are a more personalized version of a tutorial, and if the initial video creator moves on to another position or institution, it would no longer be possible to keep the consistency of any other videos in the documentation.

Those who write documentation with others will know about the importance of an agreed upon style guide. Using the same style of writing, formatting, and terminology across pages and writers ensures that no one section or page stands out or looks jarring in comparison to another, thus fulfilling the consistency principle.

Sources, or where content creators store documentation

For an Instructional Designer, it is not always possible to include documentation directly next to the thing it is explaining. For example, certain Learning Management Systems will remove code comments from all pages, leaving just the content. This is contrary to software development in general, where comments can be left inside code without issue. Therefore I recommend expanding the definition of ‘nearby’ when it comes to documentation for online courses to get around this potential problem.

How you, or your institution, store documentation will have a large effect on how people interact with it. Some institutions use specialized software such as the well-known Confluence by Atlassian, which allows collaboration between users. Other platforms such as Google Workspace are easier to start using for universities and colleges, which often already have Google accounts ready to go, and can be used without extra costs. A similar outcome is offered by other platforms such as a WordPress installation with multiple users creating and contributing to existing articles. Depending on the Learning Management System, it is possible to include documentation closer to the course files (such as attaching files to pages), which is recommended under the nearby principle. Using a single repository for documentation is important so that similar and identical information (such as tutorials on the same topic) are not unnecessarily duplicated (i.e. kept unique) in multiple places such as on an LMS, blog, shared docs. For example, a user of Canvas duplicating tutorial pages across courses leads to problems if part of the tutorial needs to change. This means numerous edits across multiple courses as opposed to pointing to one central location that requires edits only once.

Publications, or how someone can find what they are looking for

Continuing from the previous paragraph on Sources (where the writers store documents), the discoverability of the documentation is key. Where are faculty, designers, and support staff likely to look for help on various topics? Consider linking to the established repository where possible – rather than duplicating it across multiple sites. This will make it easier for others to find the help they require. In a previous section, I included a link to the W3Schools HTML id Attribute page. Specifically here, we are interested in the “HTML Bookmarks with ID and Links” section which tells us about how to jump to different “bookmarks” of a very long page. This is handy when you want to point someone directly to a smaller part of a more complicated and longer page. Doing this manually, however, can take a lot of time, but there are shortcuts for creating these IDs.

When writing documentation, I often use Markdown and then export to HTML. During this conversion process, the headings are automatically given a unique ID in HTML. When pointing people to this part of the documentation, I just need to append a # and the ID name of the heading to the end of the URL. This is known as making the documentation addressable, and links the reader directly to where they would be helped the most. For example, I might want you to go directly to the General recommended documentation principles section of this page, and you can do so with that previous link.

The Write the Docs authors ask the following question:

Can a reader follow your entire body of documentation, linearly, from start to finish without getting confused?

Answering “yes” to this would fulfill the requirements of being cumulative, and this is important when writing something like a tutorial for faculty from start to finish. I try to structure HTML tutorial documentation with the absolute basics first, using headings to structure the page, so that if an instructor already knows basic HTML/CSS principles, they can just skip to the sections that are important to them. If they know nothing about it, however, they should be able to start at the beginning and go through the steps in order.

Completeness of a document increases in complexity depending on what you are writing about. Rather than overpromising what will be in the documentation, state to the reader which parts are covered and stick to those. For example, if there are five assessment criteria for an essay titled Essay 1, only covering three of those in a document titled “Assessment Criteria for Essay 1, Explained” would be misleading.

The beauty of a page is subjective, but proper document structure can help enormously. Things like logical reading order of headings, use of whitespace, properly sized images with captions/alt-text go a long way to making documents more readable.

Documentation Body

The time required to make your institution’s documentation comprehensive also depends on the complexity of the systems in use. Write The Docs defines comprehensive documentation as being able to answer all the questions a user is likely to have. Instructional Designers are often connected to all aspects of the course, and can work with the various teams involved to provide the informative questions and answers required to be as comprehensive as possible for all stakeholders.

Conclusion

Creating successful documentation in the Instructional Design field starts from the inception of a project. It begins with the very first needs analysis and ends with a fully comprehensive set of publications that are easy to access by both writers and readers. It is a collaborative process and involves promotion and discoverability. but once created, it provides opportunities for learning, understanding, and importantly, modification and revisions to existing projects. For those thinking of designing an open course, or if you simply like learning more about how things work, perhaps you too are a Documentarian.

References

  1. Chambers, P. (2022, May 23). Designing the open course: Why Instructional Designers should follow a “right to repair” plan. Ecampus Course Development & Training Inspire Blog. https://blogs.oregonstate.edu/inspire/2022/05/23/designing-the-open-course-why-instructional-designers-should-follow-a-right-to-repair-plan/.
  2. HTML id Attribute. Retrieved from https://www.w3schools.com/htmL/html_id.asp.
  3. Mundorff, M. (2022, April 18). An Introduction to Markdown. Ecampus Course Development & Training Inspire Blog. https://blogs.oregonstate.edu/inspire/2022/04/18/an-introduction-to-markdown/.
  4. Write the Docs, CC BY-NC-SA 4.0.
team collaboration

According to the 2020 Brandon Hall Group Team Development Pulse Survey findings (Werder, 2021), at least half of work is currently done in teams in over seventy percent of companies. Global Human Capital Trends (2016) confirmed that this trend is continuing, with over 7000 organizations moving towards more team-based designs. However, the success of team collaboration is not a guarantee and requires diligent planning and hard work. Tannenbaum and Salas (2020) suggest that there are seven “Cs” (or drivers) of teamwork, namely: capability, cooperation, coordination, communication, cognition, coaching, and conditions.

To contextualize and apply each of these 7 “Cs”, I’ll use a recent team collaboration I participated in as an example. A team of four staff from Oregon State University Ecampus gave a virtual presentation on the role of instructional designers in research. Speaking of the first C – capacity, thanks to the selection of team members, this team had the perfect mix: the facilitator was in charge of setting up the stage and engaging the audience with an opening poll and scenario. A second team member was assigned to cover the institutional level, a third team member was assigned to cover the team level and the last team member was assigned to cover at the individual level. Capability: checked ✅!

Cooperation: During the preparation for the presentation, each of the four team members worked individually on our own parts. When we met again, we reviewed each other’s parts, felt comfortable voicing any concern or areas that could use improvement. We each revised our individual parts and met again to review. At this point, we felt we had the content nailed down. Laurie, Tianhong and Heather already know each other very well since we all work in the same instructional design team at Ecampus. Naomi opened herself up and welcomed us to give her feedback and ideas for improvement up front, which is very helpful for Laurie, Tianhong and Heather to connect with her, and built trust for working together on this project. Viola, Cooperation: checked ✅!

Coordination: During the two rounds of peer review sessions, we made many changes, based on feedback from team members. Naomi opened up with a poll of attendee roles and a scenario to illustrate why instructional designers need to be involved in research. Laurie demonstrated diligence and surveyed the entire instructional design team at Ecampus and was able to present some solid data on our team composition in terms of degree/education, and years of career in instructional design. Laurie also provided Tianhong with two prepared slides on areas to be covered as a suggestion. Tianhong conducted comprehensive research and her findings demonstrated that over 50% of instructional designers at Ecampus have participated in research activities with support from Ecampus. Heather’s storytelling of her research involvement was rich and fascinating. So she had the pleasant struggle of cutting down her content to fit within a nine minutes time frame. And we all put scripts of what we plan to say in the notes area of the google slide we were collaborating on, which help us to stay within the limited time and allow us to have discussion time with all participants. Since each of us diligently completed our individual work as planned, the whole presentation is full of data and stories. Coordination: accomplished✅!

Communication within the team of four presenters was relatively easy since we use slack as a communication tool internally and we used calendar invites and emails for scheduling purposes. Our slack messages were quite active throughout the preparation and on the day of the presentation and after the presentation with many suggestions, encouragement, and compliments! Communication: accomplished✅!

Cognition or shared understanding among the team members is vital. In my opinion, this should be the first C on the list! For our team project, Naomi hand-picked the three panelists to join her on this collaboration because she sensed that all three of us share a common understanding on the value of instructional designers being involved with educational research. This common understanding and vision is visible the entire time while we worked on this project. Cognition: checked✅!

Coaching: Does leader and/or team members demonstrate leadership behaviors? Yes, Naomi is a great leader in this project. It was a pleasure to work under her leadership since the role of each panelist is very clear, and we started the collaboration early enough so that we have plenty of time to review, revise, practice and practice again before the actual presentation. Laurie also demonstrated leadership by offering help to cohesively formatting and beautifying each of our slide decks into one presentation file. Coaching: accomplished✅!

Conditions: Does the team have favorable conditions such as resources and culture? Yes, each team member brought with them expertise in their own roles, we were also able to use existing tools such as slack and google slides, and ecampus presentation template for this collaborative presentation. Naomi could have done it all by herself. But she invited a panel of three instructional designers to collaborate with her on this presentation. Our combined effort makes our story stronger, richer and more impressive because we work as instructional designers and we have experience doing research as instructional designers. Conditions: checked✅!

On the day of the virtual presentation, Laurie and Tianhong were presenting from campus offices housed inside the campus library while Heather and Naomi were presenting from their remote offices. In the middle of the presentation, there was a 🔥fire alarm in the library which required everyone to evacuate from the library. Laurie and Tianhong moved to a nearby building and logged back online and re-joined the presentation within 10 minutes. We are so thankful that the four of us are presenting from different locations so that the fire alarm did not stop us from presenting. This is how virtual team collaboration saved our work during a fire alarm emergency. And this is how the 7 Cs led us to a great team collaboration. The next time you sit down to plan a team project or initiative, you might benefit from reflecting on these following questions:

  1. Does the team have the right people with the right mix? (Capability)
  2. Does each team member have constructive attitudes about their team? (Cooperation)
  3. Does each team member demonstrate necessary teamwork behaviors? (Coordination)
  4. Does each team member exchange information effectively with each other and outside? (Communication)
  5. Does each team member possess a shared understanding? (Cognition)
  6. Does leader and/or team members demonstrate leadership behaviors? (Coaching)
  7. Does the team have favorable conditions such as resources and culture? (Conditions)

I hope I have encouraged and convinced you a tiny bit in your next decision for teamwork and have fun collaborating and doing effective teamwork!😊

References:
Werder, C. (2021). How to develop a winning team. Brandon Hall Group. Retrieved from https://www.brandonhall.com/blogs/how-to-develop-a-winning-team/

Global Human Capital Trends. (2016). The new organization: Different by design. Deloitte University Press. Retrieved from https://www2.deloitte.com/content/dam/Deloitte/global/Documents/HumanCapital/gx-dup-global-human-capital-trends-2016.pdf

Tannenbaum,S.I. & Salas, E. (2020). Teams that work : the seven drivers of team effectiveness. Oxford University Press.