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Your AI Data Analyst.

Data & Analytics helps turn accessible information into a decision you can explain. Start with a specific question and a bounded dataset, then ask for the findings, the method, and the limits of what the data supports.

What Data & Analytics can help with

Clarify the metric

Define a measure’s population, time window, numerator, and denominator before comparing results. This helps prevent teams from using the same word for different numbers.

Analyze supplied evidence

Ask for patterns in a funnel, cohort, campaign, or customer dataset. The analyst can distinguish observations from hypotheses and identify missing or inconsistent data.

Prepare a decision brief

Combine findings, source references, assumptions, and a recommended next check. Use a focused brief when Product or CoSmo needs to weigh a choice.

What you can get backA metric definition, analysis memo, research brief, or recommendation with traceable assumptions.

Useful services to connect

Start with the service that holds the context for your first task. Connect it in Ployed and grant access to this employee. Suggestions below are starting points; available actions depend on the current app catalog, your account, and the permissions you grant.

Google Sheets
Supply metric tables, cohort exports, and campaign results with clear column definitions. Google Sheets connector reference
HubSpot
Use accessible sales and customer records for a bounded pipeline question. HubSpot connector reference
Google Drive
Provide research reports, data dictionaries, and business context for interpreting the numbers. Google Drive connector reference

Slack is where you talk to your team. Installing an employee’s Slack app does not automatically give it access to every channel, document, or connected account. Share relevant context and grant only the access needed for the work.

Questions you can ask in Slack

Use these as starting points. Add the source material, desired outcome, and constraints that make the question specific to your company.

  • Where does this onboarding funnel lose the most users? Explain the denominator.
  • Compare these cohorts and separate observations from possible explanations.
  • Check this metric definition for ambiguity before we use it in a dashboard.
  • Summarize the evidence for this market assumption and identify what we still do not know.

A useful first task

Provide one dataset, its date range, field definitions, and a question tied to a decision. Ask for findings with the calculation method and missing-data limitations.

What to expect

An app connection does not provide access to every dataset or a warehouse query environment. Correlation is not causation, and incomplete inputs should not become confident conclusions.

Research and drafts can move forward with the right access. Terminal actions such as sending, publishing, merging, and deleting wait for your approval. Read how access and approvals work.

Work with the rest of the team

Bring a question that spans roles to CoSmo for coordination and a combined response, or start with a specialist when the task is already well defined.