elicit

Take the guesswork out of analytics requests.

Vague requests cost your analytics team more than just time. Elicit turns them into something your data team can easily follow.

Designed for teams in
Marketing·Finance·Product·Operations·Healthcare·HR
Incoming requests

Why did churn spike last quarter? I need something for the board.

4 questions to clarify3 areas flagged
Needs clarification
Understood

Why Elicit?

The hardest part of any analytics request isn't pulling the data. It's figuring out what to pull. Requesters know the decision they need to make, but translating that into something data teams can work with is where things stall. The result: vague requests, assumptions that go unchecked, and analytics teams spending more time on requirements than on actual analysis.

Elicit bridges that gap. It steps in upstream, asking you a few simple questions to clarify scope, specifications, and the details that make querying data a whole lot easier. Over time, Elicit builds a living picture of what your organization actually asks for — surfacing patterns like recurring requests that could become standardized reports, common metric definitions, and frequently used terminology. Less onboarding, fewer repeated explanations, and a data team that gets faster with every request.

How it works

From request to brief in under two minutes.

1

Type in your request, no matter how vague

"Why did churn spike?" or "I need numbers for the board." Start with whatever you have. Elicit takes it from there.

2

Elicit asks what an experienced analyst would ask

A few targeted questions surface the decision, scope, timeline, and success criteria buried in your request. The things that usually take a meeting or two to uncover.

3

Your analytics team gets a brief they can act on immediately

Elicit delivers a structured brief with defined metrics, data sources, and constraints directly to your analytics team. Saving hours of requirements gathering and rework cycles.

What your analytics team receives

ChurnAnalytical Requirements Brief
Sample output

Original Request

4 questions to brief

“Why did churn spike last quarter? I need something for the board.”

Business Question

Why did customer churn increase last quarter, and which segments are driving it?

Decision

Whether to invest in retention for enterprise vs. SMB

Decision Maker

VP of Customer Success

What Changes

Q3 budget allocation between retention programs and new acquisition

Time Period

Q4 2025 vs. Q3 2025, with YoY comparison

In Scope

All paying customers; segment by plan tier, company size, industry

Out of Scope

Free-tier users, trial-only accounts, internal test accounts

Metrics Specification

Gross churn rate by segmentratio

Customers lost / customers at start of period, by plan tier

Grain: monthly · Compare: QoQ · Source: billing system

Net revenue retentionpercent_change

End-of-period MRR from existing customers / start-of-period MRR

Grain: monthly · Compare: QoQ and YoY · Source: Stripe / billing

Churn reason distributiondistribution

Categorized cancellation reasons as % of total churns

Grain: per cancellation · Source: CRM exit surveys, support tickets

Suggested Deliverable

Slide deck

Segment heatmap, trend lines by tier, waterfall chart of MRR movement, churn reason bar chart

Success Criteria

VP can identify the top 2 segments driving churn and approve a targeted retention budget in one meeting

Timeline

Board presentation in 2 weeks

Format

Executive slide deck, max 8 slides

Audience

VP of CS + board members (non-technical)

Assumptions & Analyst Flags

  • Churn defined as no active subscription for 30+ days
  • Downgrades counted separately from full cancellations
  • Exit survey response rate may be low for SMB segment

Who it's for

Analytics teams are drowning in ad-hoc requests.

There's no structured way to separate the meaningful from the less valuable. The cost isn't just time. It's wrong outputs, rework cycles, and decisions made on incomplete analysis.

68%

of data professionals say understanding business requirements consumes the majority of their working hours

60%

of data practitioners regularly rework their dashboards and data products because they aren't meeting business needs

$12.9M

average annual cost of poor data quality to enterprise organizations, per Gartner

Business Stakeholders

You know what decision you need to make. Elicit helps you articulate exactly what data would support it.

Under 2 min

from request to structured brief

Product Managers

Turn roadmap questions into structured data requests without learning SQL or waiting for a kickoff meeting.

3–5

targeted questions to full specification

Analytics Managers

Receive briefs with defined metrics, scope, and constraints instead of vague tickets that require three follow-ups.

12–24x

estimated ROI vs. manual requirements gathering, based on average entry-level analyst salary in Canada

Live demo

Try It Yourself

Paste a vague analytics request — or use our example — and see what your analyst would receive.

Early access

Get early access.

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