Establishing a Data-Driven Improvement Cycle through Post-Event Performance Verification

Tools Used

• File Analysis Assistant
• Sensei AI

AI Analysis to Connect Past Lessons to Future Success

Verifying performance after an event is a crucial process for the success of the next one. However, while being busy with daily tasks, many people likely don't have the time to analyze the factors behind an individual event's success or failure, or to think of hints for applying those learnings to the next initiative.

This article introduces a concrete method for using the "File Analysis Assistant" and "Sensei AI - Tourism DX" to objectively analyze event performance based on data and utilize it for planning and improving future events. Let's use AI effectively to maximize the ROI (Return on Investment) of your events and deploy more effective marketing strategies.

Specific Procedures

Step 1: Collect and Organize Data for Analysis

Collect and organize the necessary data for objectively analyzing event performance. To increase the accuracy of AI analysis, it is important to prepare data that is as comprehensive and accurate as possible.

Step 2: Comprehensive Analysis of Various Data

▶ File Analysis Assistant

Upload the collected and organized event-related data to the "File Analysis Assistant" to prepare for analysis.

Next, execute a comprehensive analysis. Even simple instructions like the following can lead to a sufficient analysis containing necessary information.

Save this analysis result to the clip to use it as material for dialogue and consideration in the next step.

Step 3: Concrete Formulation of Next Initiatives through Dialogue with the AI Consultant

▶ Sensei AI - Tourism DX

Based on the objective analysis results obtained in Step 2, engage in dialogue with Sensei AI (the AI Consultant) to elicit concrete improvement measures and planning ideas for the next event.

Once the chat starts, immediately paste and send the analysis results you saved to the clip into the chat field.

Sensei AI will propose specific measures for improving attendance, increasing revenue, and enhancing operational efficiency for the next event, as well as points to note during the planning process, based on the submitted analysis data.

Step 4: Achieve Data-Driven Decision-Making Based on AI Dialogue Results

You can deepen your thoughts through further dialogue with Sensei AI by asking questions like, "What kind of budget is needed for this measure?" or "Do you have specific SNS post ideas?"

Furthermore, by instructing the AI to "Please create a proposal document for the next event," and answering the questions presented by Sensei AI as necessary, you can generate a draft proposal document and quickly commence discussions regarding the next event plan.

Results Achieved Through Utilization (Examples)

• Objective and Efficient Analysis of Event Performance
  The AI comprehensively analyzes quantitative and qualitative data such as sales figures and survey results, allowing for an objective grasp of the event's success factors and challenges.
• Data-Driven Planning of Next Initiatives
  Based on the AI's analysis results and proposals, data-driven decisions can be made, leading to the planning of more effective next events and improvement measures.
• Improved Marketing Strategy Accuracy and Operational Efficiency
  The AI consistently supports the process from event performance analysis to the proposal of next initiatives, reducing the burden on staff and increasing the overall accuracy of the marketing strategy.

Target Figures 1 Year After the Event

KGI (Key Goal Indicator):

• Attendance for the Next Event: 15% increase year-over-year

KPI (Key Performance Indicators):

• Event Performance Report Completion Rate: 100%
• Reflection Rate of Event Performance Report in Next Event Planning: 80% or more
• Improvement in "Satisfaction Level" in Post-Event Survey: 5% increase