Your poster design is important for two reasons. One, it is an opportunity for your team to reflect on the project process and what you have learned, and two, it provides a great visual aid for explaining your work to visitors at the final event. Highlight at least six artifacts that demonstrate key work your team completed in the project process from beginning to end, and include a refined value statement that pulls it all together.

POSTER TEMPLATE

• You can use this Google Drawing template which is set to 36 inches wide by 24 inches tall. Zoom in or out as needed to add text, images, etc. – but do not change the canvas size. (Be sure you're logged in to your Google Account. From the File menu, select Make a copy. Save the copied file to your shared team folder in Google Drive.)

• If you use a different drawing/illustration tool, set the canvas size to 36 inches wide by 24 inches tall at 300 pixels per inch (10800 pixels wide by 7200 pixels tall).

• If your teacher has specified a different size for the poster, use that instead.

❏ Deliverable A PDF file of poster (36" x 24").

Plan another evaluation to test your live chatbot using the think-aloud protocol with at least six people. While you did a basic functional test (code testing) earlier, this evaluation will help you determine if the chatbot is fully usable and engaging for people. Prepare a few prompts for participants to complete the main tasks your chatbot supports. For example, you could ask them, "How would you go about reviewing a glossary of terms in our Chemistry Bot to prepare for a quiz?". By observing the interaction and any comments from the participant you will gain insight. Be sure to record your findings promptly. Be sure to evaluate the conversation flow and the quality of the chatbot messages and feedback.

Follow up this evaluation with an informal post interview of participants to get feedback on the overall effectiveness of your solution in addressing your chosen health issue. You want to learn as much as you can while using people's time wisely and respectfully.

Thinking Aloud from Nielsen Norman Group.

❏ Deliverable A document or slide that summarizes the results of your user experience evaluation.

Remember, a lot of people will likely be learning about your project for the first time. You will need to tell your story from the beginning in an engaging way.

Final Chatbot

Presentation

Take the time to review the project process. What went well? What didn't? What did you learn about collaboration? What did you learn about your interests in the practice of designing, coding, and data analysis? What did you learn about personal responsibility?

❏ Deliverable A document clearly conveying your project experience, learning, and future interests.

This is a time to develop a clear narrative to share about your team's work and enjoy sharing it with others in class.

❏ Deliverable Prepare a slide set with your poster and chatbot link. Demonstrate your chatbot to the class, share your poster design, and discuss the most recent findings and improvements made based on your evaluations and chatbot usage analysis.

It is important to determine how you can get the most return (improvements in the chatbot) from the time you have remaining to work. So, based on your evaluation findings and chatbot usage analysis, determine a plan to implement improvements while frequently testing to ensure nothing is unintentionally broken. Similar to your code requirements document earlier, simply list items by priority, with high priority changes and low priority changes.

This would also be a good time to revisit your Feature Map if you created one earlier.

❏ Deliverable A document or slide listing improvements by priority.

After making any improvements to your chatbot from the user evaluation in your previous exercise, share your chatbot link with classmates and others outside of class to generate some data on chat behaviors. Prepare summary data and charts on people's interactions with your chatbot and draw some conclusions about the quality of the interactions and any inferences that can be made about visitors' mental models. Look for any patterns indicating errors in your chatbot script or functions.

❏ Deliverable A document or slide that summarizes analysis in charts.