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Common Questions
Frequently asked questions about Quikirr, its features, data handling, and usage.
Here are answers to some common questions about Quikirr.
Quikirr is a modern analytics platform integrated directly into Microsoft Excel, designed for investors and operators. It helps analyze recurring revenue, customer retention, cohorts, unit economics, and other key business metrics quickly and reliably. It transforms raw customer data into dynamic dashboards and polished Excel workbooks.
Quikirr is primarily built for:
- Investors (Growth Equity, Private Equity, Venture Capital) performing due diligence or portfolio monitoring.
- Bankers (Investment Banking, M&A Advisory) analyzing recurring revenue businesses for transactions.
- Operators at SaaS and recurring revenue businesses (Finance, FP&A, Ops, Strategy teams).
- Anyone who needs to analyze customer-level recurring revenue data efficiently within Excel.
You can install the Quikirr Excel Add-in directly from within Excel:
- Go to
Home › Add-ins › Get Add-ins(orOffice Add-ins). - Search for “Quikirr”.
- Click Add. Alternatively, you can find it on Microsoft AppSource. You’ll need a Quikirr account linked to a valid license to sign in. See the Quickstart Guide for more details.
The Quikirr Excel add-in allows you to:
- Select your customer data directly within your workbook.
- Preview and configure analyses (e.g. waterfalls, cohorts, etc.) using the Quikirr web app.
- Generate fully-formatted Excel sheets containing the results. The outputs are formula-driven, linking back to calculation tabs for full traceability and auditability, all within the familiar Excel environment.
Quikirr is optimized for customer-level recurring revenue data. Typically, this data is structured as a “cube” where:
- Rows represent individual customers (or customer-product combinations, which enable cross-sell analysis).
- Columns include a unique customer identifier, optional product identifiers, optional descriptive tags (like region, segment), and time periods (e.g., monthly, quarterly, or revenue/ARR/MRR values). It’s ideal for analyzing data from SaaS, subscription, or other recurring or re-occurring revenue business models. See the Quickstart Guide for data structure examples. Quikirr includes a feature specifically for handling large datasets efficiently within Excel’s limitations.
- It automatically activates when dataset size exceeds a threshold (approx. 250k data points).
- It optimizes the generated Excel outputs for performance (e.g., using hardcoded values in some areas while retaining formula examples for auditability).
- This allows you to work with millions of data points without crippling Excel performance.
Yes. Transparency and auditability are core principles. All outputs are driven by Excel formulas that directly trace back to the underlying data.
Yes. Quikirr offers powerful segmentation:
- You can include descriptor columns (like region, industry, product line) in your source data.
- Use the Filter Center in the add-in to define and save combinations of these descriptors (e.g., “North America - Enterprise”). See the Filtering guide.
Quikirr provides modules for various essential recurring revenue analyses, including:
- Data Clean-Up (duplicates, negatives, irregularities)
- ARR/Revenue Waterfalls (New, Expansion, Contraction, Churn)
- Cohort Analysis (Retention, NDR, Logo counts)
- Customer Ranking (Top N by ARR, Growth, Churn)
- Cross-Sell Analysis (Product adoption paths)
- Unit Economics (LTV, CAC, Payback, Magic Number)
- Filtering
For technical support, questions, or feedback, please contact the Quikirr team via email: support@quikirr.com. You can also find contact links in the navigation bar of this documentation site and on the main Quikirr website.