Workload Survey

Obtain accurate visibility into actual workload through a dynamic question flow, improving the precision of improvement plans

Background and Challenges

With static survey forms, questions are fixed and can easily diverge from actual operations

Follow-ups to non-respondents and post-collection aggregation create significant administrative effort

In cases where sites are dispersed or headcount is large, collecting responses from everyone is extremely difficult

AS-IS (Conventional)

・Fixed questions diverge from reality

・Significant effort for aggregation and follow-up

・Unable to capture every voice

TO-BE (After implementation)

・Understand the actual situation through AI-led deep probing

・Fully automate distribution and aggregation

・Visualize based on full-population data

Operational Flow

1. The system sends role-based survey interviews

2. AI deepens specificity for ambiguous answers

3. Automate aggregation and categorization of work time

4. Visualize bottlenecks and workload status

Information That Can Be Collected

・Time allocation by task / heatmap

・List of highly person-dependent tasks

・Collection of qualitative comments on burden

Implementation Effects (KPI)

・Response rate: Improved

・Aggregation effort: Significantly reduced

・Data accuracy: Improved consistency