Individual Workflow (Overview & Set up)

Overview:

The Individual workflow in Bongo helps users build communication and critical-thinking skills by continuously practicing, self-assessing, and delivering video presentations.

In the Individual Workflow:

• Users record or upload a video of themselves presenting on a topic or demonstrating a specific skill
  With the screenshare feature, users can also enhance their submission with visual aids.
• Users can optionally practice their response before submitting a final version.
• Submissions are reviewed using AI feedback, human evaluation, or both

Set up & Configuration

Configuration for Individual assessments is split up into tabs:

The General tab contains the basic information about the assessment.

1. Your LMS may populate the assessment title, but otherwise, you will need to add it.
2. You can optionally add a due date to the assessment. The due date is informational for users and does not prevent submissions after it passes. Evaluators may choose to adjust scores for late submissions at their discretion. 
3. Instructions are the first thing the user will see when taking the assessment. Use this space to provide any necessary context or guidance for users before they start the assessment. A video can be included with the instructions by clicking on the video icon next to the instructions. [DO NOT use emojis in your instructions].

More Options

In More Options, you can create Post-Submission Instructions. This is an optional message that users will see after completing the assessment.

The Evaluation tab determines how users will be evaluated. Bongo offers multiple ways to evaluate responses, including manual and automated options. Manual options, such as Percentage and Rubric, require an evaluator to review each submission and assign a score to each user. Smart Scoring is the recommended evaluation method when you want to automate scoring.

Evaluation Type Considerations:
Smart Scoring

• Smart Scoring uses only the criteria defined in the Learning Objectives tab to automatically score a user's submission.
• Evaluators can still determine the final score, review responses, and provide comments.

The AI Feedback Tab lets you enable or disable AI Feedback for users. AI Feedback cannot be disabled when Smart Scoring or Delivery is used as the evaluation type.

Within the AI Feedback Tab, under More Options, you can determine visibility of AI Feedback for users:  

Always = visible while users are recording practice attempts, and after submitting their final videos for evaluation Never = only visible for evaluators to take into consideration for evaluation purposes

Within the AI Feedback Tab, under More Options, you can additionally determine if you want delivery scores related to rate of speech, speech clarity, or use of filler words to be visible. Unless Delivery is chosen as the evaluation type, this score will not count toward the final score and serves as a coaching tool for users as they practice, or may be considered by an evaluator when manually determining the final score.

Within the Learning Objectives Tab, you can generate a list of Learning Objectives.

Learning objectives define what users are expected to articulate in their response. Each learning objective includes a general description and supporting criteria that outline the key concepts, actions, or behaviors that a strong response should include. 

  Pro Tip

Users do not need to follow a script or repeat the criteria verbatim to meet the objective.

Learning objectives can be paired with any evaluation type to provide users with targeted, criteria-based feedback as they practice or complete an assessment.

When learning objectives are paired with Smart Scoring, the supporting criteria are also used to automatically evaluate submissions. This allows evaluators to reduce manual scoring while maintaining consistent standards for assessing users' application of knowledge.

  Pro Tip

If you do not include Learning Objectives and AI Feedback is enabled, users will receive general feedback about their organization and details. It will also infer the video's context (presentation, sales pitch, demo, etc.) and provide feedback on the user's performance in that context.

To add Learning Objectives, you can provide reference material, and Bongo will automatically generate a list of objectives and criteria based on the material provided.

The generated objectives can then be modified or removed if desired. Either deselect any generated criteria that you do not wish to use, or once generated, you can modify them by hovering your cursor beside the criteria, and you will see an edit icon.

The Toolset Tab lets you customize which tools users can use when completing their assessment. You can toggle on or off the following:

• Camera: Allows users to record with their camera
• Screen: Allows users to record by sharing only their screen
• Camera + Screen: Allows users to record with their camera and screen at the same time 
• Audio-Only: Allows users to record just their microphone without sharing any video
• Upload: Allows users to upload recordings from other devices 
• Meetings: allows users to schedule and optionally record online meetings as part of their assessment. If the meeting is recorded, the recording can be used as the submission video. 
• Attachments: Allows users to upload supplemental documents or links to include with their submission.

The Toolset Tab additionally allows you to set submission requirements. You can decide whether only a video is required for the submission, or both a video and an attachment.

The Peer Review Tab lets you enable Peer Review, allowing users to view and review submissions from other users.

Settings to note:

• Number of Peer Reviews: The number of reviews you want your users to complete. If this is the only setting you have enabled, peer review will consist of time-stamped comments only. If you want peers to provide scoring feedback, you must enable Evaluation Type in the More Options section 
• Reviewer Selection: By default, Bongo balances peer reviews so that users who haven't yet been reviewed are prioritized next. If you rely on this feature, we recommend setting the number of Peer Reviews to at least 2 to ensure proper distribution. Optionally, you can change this behavior to allow users to manually select whom they review.
• Evaluation Type: Users can provide quantitative feedback to their peers using a 5-star scale or the same rubric used for their main evaluation. If the Evaluation Type is Peer Review, the user’s score will be the average of their peers' reviews (either using a rubric or a 5-star rating). If the Evaluation type is any other option, the quantitative feedback is visible to the evaluator and should be taken into account when determining the overall score.