FCR Viewer
A lightweight analytics tool for support teams to measure and compare first contact resolution, filter by channel, and export results for continuous improvement.
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About This Tool
Conceptually, the tool computes FCR as the ratio of cases resolved on the first contact to total cases within the period. It supports channel-level and department-level breakdowns, enabling comparisons across teams and campaigns. Baselined cohorts and moving averages reveal sustained improvements or regression due to training, policies, or staffing changes.
Its unique value lies in ready-to-consume outputs: exact FCR values, cohort splits, trend lines, and ready-for-export datasets. By separating required data (case_id, date, channel, outcome, resolution_time) from optional filters, it minimizes data preparation while maximizing analytical depth. It is suitable for weekly performance reviews, monthly QA calibrations, and leadership dashboards.
Use cases include monitoring FCR after new chat routing rules, evaluating impact of knowledge-base updates, and spotting channels with lagging resolution. The tool emphasizes reproducibility, supports reproducible exports, and provides clear handling of edge cases such as missing records or zero-case periods.
How to Use
Provide inputs: specify start_date and end_date, data_source type (CSV/API) and optional filters such as channel or department.
Run calculation: the tool computes FCR as first_contact_resolutions divided by total_cases within the period and applies any cohort filters.
Review outputs: inspect FCR rate, total_cases, and per-cohort breakdowns; use export options to save CSV/JSON datasets for dashboards or reports.
Iterate: adjust date range or filters to compare performance across time or groups; re-run to observe changes and export updated results.
Frequently Asked Questions
Find Quick Answers
What is FCR?
What data formats are supported?
Can I compare performance across channels?
Can I export results?
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