The Credit Recovery Agencies Dashboard in Excel tracks 5 headline KPIs across 5 interactive pages, built on 19 charts, 25 pivot tables and 4 linked slicers over a 500-record sample book of recovery cases. The demo portfolio carries $104.9M assigned, $45.0M recovered, a 42.9% recovery rate and an average resolution time of 29.7 days. Setup takes under 10 minutes – paste your own case export into the Data sheet, refresh, and every page updates.
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Collection and credit recovery agencies live on two numbers: how much of the assigned book actually comes back, and how long each case takes to close. This dashboard puts both in front of you by agency, agent, region, portfolio, channel, risk band, DPD bucket and recovery stage – in a plain .xlsx workbook that needs no add-ins, no Power Query refresh service and no monthly seat fee.
🔑 Key Features of the Credit Recovery Agencies Dashboard in Excel
📊 Five KPI cards on the Overview page. Total Assigned Amount, Total Recovered Amount, Total Recovery Cases, Recovery Rate % and Avg. Resolution Days sit across the top of page 1 and recalculate against every slicer selection. In the sample book they read $104.9M, $45.0M, 500 cases, 42.9% and 29.7 days.
🎛️ Four slicers wired to all five pages. Month (Jan-Dec), Agency (6 firms), Region (Central, East, North, South, West) and Status (Escalated, Open, Partial Recovery, Promise to Pay, Recovered) are pinned to the right rail of every page, so a filter you set on Overview follows you into Case Outcomes.
🏢 Agency and agent league tables. The dashboard ranks all 6 collection firms on assigned versus recovered value and all 12 agents on resolution rate – from Maya Verma at 25.0% to Riya Kapoor at 44.1% – so you can see who is closing and who is only making contact.
⏳ Ageing and risk analysis. Recovery is split by DPD band (31-60, 61-90, 91-180, 180+) and by risk band (Low, Moderate, High, Severe). The sample data shows $71.0M of the $104.9M book sitting in the 180+ bucket, of which $31.3M has been recovered.
⚖️ Legal-action and stage economics. A dedicated page compares cases with and without legal action ($91.2M assigned / $42.5M recovered without, versus $13.7M / $2.5M with) and walks the book through six recovery stages from Initial Contact to Closed.
🧾 A 25-column source table with 500 rows. The Data sheet holds Case ID, Activity Date, Agency, Region, Portfolio, Recovery Channel, Account Type, Debtor Segment, Agent, Original Debt, Assigned Amount, Recovered Amount, Fees Charged, Days Past Due, Contact Attempts, Promise Amount, Resolution Days, Recovery Stage, Status, Risk Band, Legal Action plus Month, Year, Quarter and DPD Band helper columns.
📦 What’s Inside the Credit Recovery Agencies Dashboard in Excel
The workbook holds 7 sheets: five navigable dashboard pages, a Data sheet and a Support sheet. A left-hand navigation rail on every page jumps between Overview, Agency Performance, Recovery Trend, Portfolio Analysis and Case Outcomes.
Page 1: Overview
This page shows the five KPI cards – Total Assigned Amount, Total Recovered Amount, Total Recovery Cases, Recovery Rate % and Avg. Resolution Days – alongside Recovered Amount vs Assigned Amount by Agency, Recovery Rate %, Total Recovery Cases vs Recovered Cases by Status and Resolution Rate % by Agent.
Page 2: Agency Performance
This page benchmarks the six agencies and twelve agents against each other with Assigned Amount vs Recovered Amount by Agency, Total Recovered Amount vs Recovered Cases by Agent, Total Recovered Amount vs Assigned Amount by Region and Total Recovered Amount vs Total Assigned Amount by Portfolio. Summit Receivables Group leads on recovered value at $9.0M; Credit Cards is the strongest portfolio at $9.6M recovered from $20.9M assigned.
Page 3: Recovery Trend
This page tracks the book over time with Assigned Amount vs Recovered Amount by Month, Total Recovered Amount vs Assigned Amount by Quarter, Total Recovered Amount vs Assigned Amount by Year and Total Recovered Amount vs Total Recovery Cases by Recovery Channel. Field Visit returns the most value at $9.9M across 83 cases, while Phone trails at $5.9M.
Page 4: Portfolio Analysis
This page slices the book by exposure type with Recovered Amount vs Assigned Amount by Account Type, Assigned Amount vs Recovered Amount by Debtor Segment, Total Recovered Amount vs Recovery Cases by Risk Band and Total Recovered Amount vs Total Assigned Amount by DPD Band. Unsecured accounts carry the largest assigned balance at $32.2M; the Moderate risk band holds 178 of the 500 cases.
Page 5: Case Outcomes
This page closes the loop with Recovered Cases vs Open Cases by Status, Total Assigned Amount vs Total Recovered Amount by Legal Action and Total Recovered Amount vs Total Assigned Amount by Recovery Stage. Closed cases account for $31.5M of the $45.0M recovered, and cases escalated to legal action return only $2.5M against $13.7M assigned.
Data Sheet
A formatted Excel table named TblData holding 500 sample recovery cases across 25 columns. Replace the rows with your own export, keep the headers, and refresh – the pivot cache and all 19 charts follow.
Support Sheet
Holds the helper measures the KPI cards read – total records, open count, recovered count, escalated count, recovery rate, resolution rate and average recovery per case – so you can see exactly how each figure is derived.
📊 Credit Recovery Agencies Dashboard in Excel vs. a Google Sheets Build vs. Paid Collections SaaS
| Feature | Credit Recovery Agencies Dashboard in Excel | Google Sheets equivalent | Katabat / TrueAccord / CollectMax |
|---|---|---|---|
| Cost | $17.99 one-time ✅ | $0-20 one-time | $60-250 / user / month |
| Platform | Microsoft Excel 2016+, Microsoft 365, Excel for Mac | Browser only | Vendor cloud |
| Setup time | Under 10 minutes ✅ | 15-30 minutes | 4-12 weeks with onboarding |
| Works offline | Yes ✅ | No | No |
| Real-time team collaboration | Via OneDrive / SharePoint co-authoring | Yes ✅ | Yes |
| Customisable fields and charts | Fully editable – 19 charts, 25 pivots, no locked sheets ✅ | Editable | Vendor-controlled |
| Agent and agency league tables | Built in – 6 agencies, 12 agents ✅ | Build it yourself | Yes |
| DPD and risk-band ageing views | Built in – 4 DPD bands, 4 risk bands ✅ | Build it yourself | Yes |
| Year-1 cost at 5 users | $17.99 total ✅ | $0-20 | $3,600 – $15,000 |
For agencies that want board-ready recovery analytics without a per-seat collections platform, the Credit Recovery Agencies Dashboard in Excel sits in the sweet spot.
👥 Who This Template Is For – and Who It’s Not For
✅ This template is built for:
- Collection and credit recovery agency owners running 5-50 agents who report monthly to lenders
- Bank and NBFC recovery managers who outsource to several agencies and need a single comparison view
- Receivables and credit-control teams reporting DPD ageing and recovery rate to a CFO
- Analysts and consultants who want a working Excel model to adapt rather than build from a blank sheet
❌ This template is NOT for:
- Teams needing a live dialer, payment gateway or FDCPA-compliant borrower communication log – this is reporting, not a collections system of record
- Anyone who wants automatic sync from a core banking or LMS system; the Data sheet is refreshed by paste or by your own query
- Enterprises requiring SOC 2, SSO and row-level security on the reporting layer
- Users on Excel 2010 or earlier, where the slicer and pivot behaviour is not supported
⚙️ How to Use the Credit Recovery Agencies Dashboard in Excel
- Download the ZIP and unzip it. Open Credit Recovery Agencies Dashboard in Excel.xlsx and click Enable Editing.
- Read the included Excel Dashboard – User Manual PDF for a two-page tour of the navigation rail and slicers.
- Open the Data sheet and study the 25 headers. Keep them exactly as they are – the pivots reference them by name.
- Delete the 500 sample rows and paste your own case export into the TblData table. The table expands automatically.
- Press Ctrl + Alt + F5 (Refresh All). Every KPI card, chart and slicer list rebuilds from your data.
- Use the Month, Agency, Region and Status slicers to filter. Selections carry across all five pages.
- Print or export any page to PDF for your monthly lender pack using the built-in page setup.
💼 Real-World Use Cases
Rahul runs a 40-agent recovery firm working three bank portfolios. Each month he pastes his case export into the Data sheet and sends the Agency Performance page to his clients, showing recovered value per portfolio and per agent – a report that used to take his MIS analyst two days in a manual spreadsheet.
Priya manages outsourced collections at a mid-size NBFC. She uses the Overview and Portfolio Analysis pages to compare her six vendor agencies on recovery rate and on how much of the 180+ DPD bucket each one is actually converting, instead of paying $95 per user per month for a vendor-scorecard module.
Daniel is a credit-control lead at a telecom company. He filters the dashboard to the Telecom portfolio and the Escalated status to decide which accounts to hand to legal, using the Case Outcomes page as evidence that legal action recovered only $2.5M against $13.7M assigned last year.
❓ Frequently Asked Questions
What KPIs does the Credit Recovery Agencies Dashboard in Excel track?
The Credit Recovery Agencies Dashboard in Excel tracks five headline KPIs – Total Assigned Amount, Total Recovered Amount, Total Recovery Cases, Recovery Rate % and Avg. Resolution Days – plus resolution rate by agent and recovered value by agency, region, portfolio, channel, risk band, DPD band and recovery stage.
How long does setup take?
Under 10 minutes. Unzip the file, open the Data sheet, replace the 500 sample rows with your own case export keeping the 25 headers unchanged, then press Ctrl + Alt + F5. All 19 charts and 25 pivot tables in the Credit Recovery Agencies Dashboard in Excel refresh from your data automatically.
Do I need macros, Power Query or any add-in?
No. The Credit Recovery Agencies Dashboard in Excel is a plain .xlsx workbook built on native Excel tables, pivot tables, pivot charts and slicers. There are no macros to enable, no add-ins to install and nothing that triggers a corporate security prompt.
How does this compare to a paid collections platform like Katabat or CollectMax?
A collections platform runs your workflow – dialer, payment capture, compliance logging – and charges $60-250 per user per month. The Credit Recovery Agencies Dashboard in Excel is the reporting layer only, at $17.99 once, which is why many agencies run both or use it to report on a platform they already own.
Is this the same as the Credit Recovery Agencies KPI Dashboard in Excel?
No – they are two different templates. The Credit Recovery Agencies KPI Dashboard in Excel is a month-picker scorecard with MTD/YTD targets and traffic lights. This one is an analytical, slicer-driven dashboard across five pages of charts. Many buyers use them together.
Can I add my own agencies, agents, portfolios or regions?
Yes. Every dimension in the Credit Recovery Agencies Dashboard in Excel is read from the Data sheet, not hard-coded. Type new agency, agent, portfolio, region or risk-band values into the table, refresh, and they appear in the charts and slicer lists immediately.
Will it handle more than 500 rows?
Yes. The 500 records are sample data only. The Credit Recovery Agencies Dashboard in Excel is built on pivot tables, which handle tens of thousands of rows comfortably; large books simply take a second longer to refresh.
👤 About the Author
Built by PK – Microsoft Certified Professional with 15+ years of Excel, Google Sheets and Power BI experience. Founder of NextGenTemplates, reaching 300K+ subscribers across YouTube channels (@PK-AnExcelExpert, @NextGenTemplates, @NeoTechNavigators). Every template is hand-built and tested before release.
🔗 Explore Related Templates
💡 Pair this with the Credit Recovery Agencies KPI Dashboard in Excel for a month-by-month scorecard view of the same business, or with the Loan Recovery Services Dashboard in Excel if your book is lending-led rather than agency-led.
📈 Also worth a look: the Loan Recovery Services Dashboard in Power BI for teams already on Power BI, and the Accounts Receivable KPI Dashboard in Google Sheets for the pre-delinquency side of the ledger.
Browse the full Excel Dashboard Templates shelf, or the Financial Tools category for budgeting, cash-flow and receivables models.
💎 Save more – the CFO’s Financial Command Toolkit bundles 10 premium finance templates across Excel, Google Sheets and Power BI.
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📅 Last updated: August 2026
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