# See what works, and what costs you, across your operations Turn your time, HR and work data into clear dashboards you can act on. Intelligent Dashboards tell you what happened, why it matters, and what to do next. No data warehouse, no SQL, and no new security model required. _Screenshot: Intelligent Dashboards home: dashboard cards and "Where to focus" with three findings from the data_ ----- ## See what stands out in your data Intelligent summaries highlight what's important across your operational data, with the ability to explore from company to district to person-level data. DiDi creates plain language summaries, with suggested actions you can take based on what's working inside of your own business. You can drill down in any data to check the numbers behind any summary. _Graphic: the Findd overtime dashboard drilled down from Company (6.5% overtime rate) to California (6.8%) to Westfield Distribution Center (11.6%) to its people. People and overtime at Westfield, Oct 25 – 31, 74 people, 55 over 40, supervisor Marcus Reed, in overtime hours with timecard status: Chinedu Tesfaye, cleaner, 15.2, approved; Patricia López, cleaner, 13.6, not approved; Fernando Pérez, day porter, 12.7, approved; Duc Pham, night cleaner, 12.1, approved; Lan Vu, floor care tech, 11.9, approved; Hodan Boateng, floor care tech, 11.8, approved; Sergei Wiśniewski, night cleaner, 11.8, approved; Tuan Nguyen, floor care tech, 10.9, approved; Silvia López, day porter, 10.8, approved. Chinedu Tesfaye's weekly hours over the last 8 weeks, Sep 6 to Oct 25: 40.9, 40.6, 40.0, 40.2, 43.0, 41.9, 50.0, 55.2, against a 40-hour line._ ## Measure against your own performance Your teams get measured against your own standards. Your best performers are highlighted and used as the benchmark your team should strive for. Ranking teams helps create friendly competition around performance and identify trends. You can easily spot areas for operational clean-up, like clusters of exceptions in specific jobs. Dashboards report what happened and don't judge anyone. Employee names appear only where a manager needs them. _Graphic: the Findd overtime dashboard. Company OT rate 6.5% ($1.18M OT pay a year, down 0.3 vs the prior week) and Westfield OT rate 11.6%, up from 4.1% in 8 weeks (Marcus Reed's crew). Over 40 last week by supervisor, in overtime hours: Marcus Reed, Westfield Distribution Center, 76 people, 394 (Chinedu Tesfaye 15.2, Fernando Pérez 12.7, Duc Pham 12.1); Kim Patel, Harbor Point Tower, 74 people, 146 (Minh Hoang 10.0); Andre Thompson, Riverside City Hall, 43 people, 119 (Silvia Rodríguez 8.1); Rosa Delgado, Lakeside Medical Center, 68 people, 86; Mei Chen, Northgate A, B, C, 23 people, 36._ ## Solve problems that save money Intelligent dashboards connect your operations to real dollars: overtime, hand-edited time, quality of service, employee retention, and more. You can see how much margin your team can win back with operational focus, with Intelligent Dashboards that help you solve problems before they hit payroll. _Graphic: the Findd overtime dashboard's Overtime by group table, 12 of 13 authorized hierarchy groups shown, with overtime hours, overtime share and the change from the last period in percentage points: West (top-level group) 625.45 h, 6.78%, -0.21; Valley District (West) 393.74 h, 11.59%, -0.01; Westfield Distribution Center (West › Valley District) 393.74 h, 11.59%, -0.01; Bay District (West) 231.71 h, 3.98%, -0.29; Harbor Point Tower (West › Bay District) 145.54 h, 4.73%, -0.16; Central (top-level group) 118.53 h, 6.54%, +0.45; Metro District (Central) 118.53 h, 6.54%, +0.45. With it, the dashboard's OT premium (0.5×) per year: $0.39M, priced on 100% of OT hours, and Westfield is half._ ## Every dashboard includes actions The data tells you what's happening, and DiDi suggests what you can do about it. You can choose which actions to take, like sending district managers an overtime list every week, and then monitor how those actions change your metrics over time. With one click, DiDi sets up the workflow and sends out the texts. If you can see the data in Findd, you can turn insights into actions. [Learn more about DiDi](../../products/didi-ai/index.md) _Graphic: DiDi on the Findd overtime dashboard (Oct 25 – 31). Asked to "Send each site supervisor their overtime list every Monday morning", DiDi sets up: what, last week's people over 40 hours at their own site, sorted by weeks over 40; when, every Monday at 7:00 AM, site time; how, email, with a link back to this dashboard. Recipients: Marcus Reed (Westfield Distribution Center), Kim Patel (Harbor Point Tower), Andre Thompson (Riverside City Hall), Rosa Delgado (Lakeside Medical Center) and Mei Chen (Northgate A, B, C), with a copy to the person asking. After "Turn it on": "Done. The first one goes out Monday, Nov 9 at 7:00 AM. Ask me any time to pause or change it."_ ----- ## Intelligence built for frontline operations Overtime: who goes past 40 hours, which weekday pushes them over, and who approved the timecard _Screenshot: Overtime drilldown from the company to a state, a site and its people, with each person's hours by day and eight weeks of history_ Hand-Edited Time Watchlist: which paid hours were typed in or moved by hand instead of punched, and why _Screenshot: Punch Integrity: edits at a glance + trend_ Supervisor Scorecard: five numbers for each supervisor, compared with their peers, with the trend over time _Screenshot: One supervisor's week next to their peers: hand-corrected records and their recent time edits_ Retention Radar: who's leaving, by site and manager. It counts people who quietly stopped punching as well as formal terminations Verified Time: how much of payroll comes from punches where the clock confirmed who was there _Screenshot: Verified Time: the share of paid hours on a verified punch, by site, with an export for auditors_ Payroll Readiness: what would have broken payroll this week, ranked by dollars, and who could have fixed it that day _Screenshot: Payroll Readiness for one site: missing clock-outs and timecards still waiting for supervisor approval, listed by employee before payroll closes_ Coverage & Crew Heartbeat: which sites ran short and which crews are turning over Absence, No-Show & Fill Rate: who didn't show, whether it's a pattern, and who covered _Screenshot: Northgate A week view: fill % by day, people with employee numbers_ Hiring Funnel: from application to first punch, week by week, so you can see who actually started work _Screenshot: Pipeline board: Hiring (ATS)_ ----- ## Connect budgets to actuals Bring your budgets into Findd and identify variances by account, by site, by supervisor. Overtime is shown against your budgets, so a busy site earning a 20% margin won't get flagged like a site that's losing money. Budgets can use production rates, square footage and seasonal changes, so each contract is measured against its own plan. _Graphic: the Findd Budget Overview for 09/27/2026 to 10/24/2026, 7 of 7 budgets: actual hours against budgeted hours for each job, for the weeks of Oct 12 and Oct 19 and in total, for five of the seven jobs. Harbor Point Tower Janitorial 3,047.83 and 3,085.32 against 2,751.00 a week, 15,435.69 against 13,755.00 in total, over budget; Lakeside Environmental Services 2,771.97 and 2,733.33 against 2,745.75, 13,897.14 against 13,728.75, over; Northgate Building B 293.11 and 285.56 against 283.50, 1,412.42 against 1,417.50, on budget; Riverside City Hall Custodial 1,883.81 and 1,844.66 against 1,701.00, 9,148.20 against 8,505.00, over; Westfield Warehouse Cleaning 3,374.44 and 3,407.30 against 3,410.75, 16,688.41 against 17,053.75, under budget. In all, by category: 59,848.95 hours, against a budget of 57,645.00._ ## The right view for every role Each role gets a dashboard focused on what they care about. Executives get three or four KPIs. Operators get their regions. Site and area managers see hours, overtime, and open punches for their own buildings on their phone, the same day, so they don't wait on a report from the office. Everyone sees only what they're responsible for with smart filtering and permission management built-in. _Screenshot: Supervisor dashboard on a phone: who's on the clock right now across 14 jobs, hours so far, and who hasn't clocked in_ ## Accessible for everyone Clear, plain language definitions are added to every page so that everyone can make use of the system, whether or not they've ever used a dashboard. DiDi is right there for your team to ask questions, get clarification, explain the data, and turn insights into action. _Graphic: DiDi on the Findd overtime dashboard (Oct 25 – 31). Asked "What does overtime share mean?", DiDi answers: "It is the part of worked hours that was paid as overtime: recorded overtime hours ÷ worked hours. Last week Brightline worked 11,983 hours, and 780 of them were overtime, so the share was 6.5%." Double overtime is counted separately; paid leave and holidays are not worked hours, so they are left out; a gap in the chart means that week has no usable totals, not zero overtime. DiDi offers "Show it by site" and "Why is Westfield so high?"._ ## Exportable data You can export data you need for analysis, either through CSV, direct integration, or API into your own data lake. _Graphic: Findd Account Settings, with Custom Reports/Scripts open on a report called Payroll Time Export - Hours by Work State, followed by the Localization, Hierarchy, Accrual Adjustment Rules, Integration, Import CSV file, Payroll Export and Scheduled Jobs sections. With it, the report's file: Payroll Time Export - Hours by Work State.xls._ ----- ## The Findd Operating System When you use Intelligent Dashboards with HR, WorkOps, TLM and DiDi, your dashboards see the whole picture, from the first application through the last punch to payroll. Intelligent Dashboards show you where to look, and DiDi helps you act. From schedules, to approvals, to leave tracking, when you use the full Findd system you can see where your margin lives. _Screenshot: Findd Intelligent Dashboards: the Overtime dashboard, with overtime as a share of hours, the overtime premium, people in a repeat overtime pattern and the weekday with the most overtime_