Frequently Asked Questions

Douglass lets you search and analyze insights from emails, PDFs, spreadsheets, databases, and business tools—all in one place. Just ask a question in natural language, and Douglass will find relevant information across your connected sources.

Yes! Douglass supports natural language data analysis. You can ask questions like 'What was our average revenue per customer by month in 2024?' or 'Show me a chart of weekly website traffic.' Douglass will generate the analysis and visualizations for you.

Douglass can identify disconnected data, duplicated metrics, or missing links across your systems. For example, you can ask 'Which of our systems have overlapping customer records?' or 'Are we collecting gender data inconsistently across teams?'

Yes. Douglass can audit past decisions (like hiring or lending) for patterns of inequity. You can ask questions such as 'Was any demographic group underrepresented in our past hiring cycles?' or 'Show gender-based differences in loan approval rates.'

Douglass can summarize, compare, and extract risks from reports, memos, contracts, and legislation. For example, 'Summarize the key changes in this housing policy draft.'

Absolutely. C-suite leaders can ask high-level questions and receive structured, visualized answers. For example, 'What’s driving the drop in user engagement since February?' or 'Which initiative had the highest ROI in 2024?'

Yes. Douglass makes model decisions transparent and actionable. You can ask, 'Why did the model predict a 15% churn risk for this customer segment?' and Douglass will explain the key factors.

Douglass resurfaces historical decisions, datasets, and context—even if team members leave. You can search prior analyses, reports, and recommendations by topic or date.

Yes. Douglass can generate transparent, data-backed reports for internal and external accountability, including DEI snapshots and ESG impact summaries with charts and key metrics.

Douglass can model future outcomes across demographic or regional dimensions. For example, 'Forecast eviction rates in Houston if rent relief ends in September.'

Yes. Douglass can proactively monitor for risks like performance dips, compliance gaps, or ethical red flags, and alert you if thresholds are crossed.

Yes. Douglass enables collaboration across public, private, and nonprofit partners with shared dashboards and data visibility.

Douglass automatically detects and corrects missing, inconsistent, or duplicate data, and can standardize schemas across sources. You can export clean datasets to Excel, Tableau, or Snowflake.

Yes. Douglass supports seamless export to Tableau, Excel, dbt, and more. You can export clean data, visuals, or models to your preferred workflow tools.

Douglass can extract key financial figures, track changes across filings, flag new risk factors, and integrate with your financial models for deeper analysis.

To upload a file, click the paperclip icon in the chat input area or drag and drop files directly into the chat. Supported formats include CSV, Excel (.xlsx), JSON, and PDF files. Once uploaded, I can help you analyze the data, generate insights, and create visualizations.

Douglass supports CSV, Excel (.xlsx), JSON, and PDF files. For best results, ensure your data is well-structured with clear column headers. Large files (up to 100MB) are supported, and the system will automatically process and index your data for analysis.

Yes, the maximum file size is 100MB per upload. For larger datasets, consider splitting them into smaller files or using our enterprise features for bulk data processing. The system will show you a progress indicator during upload.

Once you've uploaded your data, simply ask me questions in natural language like 'Show me sales trends' or 'Analyze customer behavior'. I can generate SQL queries, create charts, identify patterns, and provide insights. You can also use the 'DeepSearch' and 'Think' buttons for advanced analysis.

Yes! I can automatically generate SQL queries based on your natural language questions. The generated queries are displayed in the 'SQL Query' tab, and you can review, modify, or execute them. I support standard SQL syntax and can work with complex joins and aggregations.

Absolutely! I can generate various types of visualizations including line charts, bar graphs, pie charts, and scatter plots. Just ask me to 'show trends' or 'create a chart of sales by region'. The visualizations are interactive and can be exported or shared.

Douglass is your AI data analyst that can: 1) Upload and process various file formats, 2) Generate SQL queries from natural language, 3) Create interactive charts and visualizations, 4) Identify patterns and insights in your data, 5) Clean and prepare data for analysis, 6) Generate reports and summaries, 7) Answer questions about your datasets using natural language.

You can create projects to organize your analysis work. Click the '+' button in the Projects section to create a new project. Projects help you group related analyses, save your work, and collaborate with team members. Each project maintains its own chat history and datasets.

Yes! Your query history is automatically saved and displayed in the History section. You can search through past queries, reuse previous analyses, and track your data exploration journey. The history includes both your questions and the generated insights.

To create an account, click the 'Sign Up' button and provide your email address and a secure password. You'll receive a verification email to activate your account. Once verified, you can start uploading data and using all of Douglass's features.

Click the 'Forgot Password' link on the login page and enter your email address. You'll receive a password reset link via email. Follow the link to create a new password. If you continue to have issues, contact our support team.

Click on your profile picture in the top right corner to access your account settings. You can update your profile information, change your password, adjust notification preferences, and configure data processing options.