Read the signal
先确认字段、粒度和退款口径,再让趋势和比较进入同一个视野。
把订单表格变成有依据的经营判断。LensFlow 让团队确认口径、看懂变化,并把每个结论带回到真实数据。
从文件进入的那一刻起,LensFlow 都把数据版本、指标口径和计算依据留在画布里。你看到的不只是答案,还有它为什么成立。
先确认字段、粒度和退款口径,再让趋势和比较进入同一个视野。
每个关键数字都指向数据版本、筛选条件和确定性计算结果。
把结论整理为可以复盘、导出和继续追问的经营报告。
LensFlow 的工作台让输入、口径和结果在同一个连续流程中发生。每次分析都有一个可以回到原始数据的路径。
When the number is clear,LENSFLOW DESIGN PREVIEW / SIGNAL GRAPHITE
the next decision gets lighter.
Start with the source you already trust. LensFlow will check its shape before you ask a question.
CSV or XLSX · up to 50 MB · one row per paid order
Sample dataset loaded for preview| order_id | paid_at | category | paid_amount | refund_amount |
|---|---|---|---|---|
| A-1042 | 2026-09-01 | Books | ¥100.00 | — |
| A-1043 | 2026-09-01 | Books | ¥200.00 | ¥50.00 |
| A-1044 | 2026-09-02 | Apparel | ¥300.00 | ¥300.00 |
| A-1045 | 2026-09-02 | Apparel | ¥400.00 | — |
“Compare paid amount and refund order rate across categories. Flag what deserves a closer look.”
Apparel contributes 70% of paid amount while its refund order rate matches Books at 50%. Net sales land at ¥400 after a full refund on order A-1044.
Metadata first. Every sensitive action is explicit, scoped and written to the audit trail.
Minmin Love confirmed field mapping 2 minutes ago · dataset v3
Platform admin updated model timeout 18 minutes ago · production
Hana Retail created a report 42 minutes ago · report #129