Diagnostic for data leaders Typical sprint: $2,500-$5,000

Translate the Ask

The business asked for better analytics. Or attribution. Or a dashboard. Or pipeline visibility. Those are not the same ask. This sprint turns vague stakeholder language into a concrete build plan your team can execute without guessing or rebuilding the wrong thing.

Book This Sprint Fixed fee. Usually delivered in 1-2 weeks. Best for teams that need clarity before they burn engineering time building the wrong thing.

Give your team a build plan, not another ambiguous request

  • Business questions translated into metric definitions, data models, and delivery priorities
  • A clearer 90-day plan for what to build first and what can wait
  • Less rework from building the wrong thing for the wrong stakeholder
  • A cleaner handoff into data foundation or implementation support

This is for you if...

  • The business keeps asking for better analytics but the real request is still fuzzy
  • Your team is technically strong but stretched thin on business translation
  • You want outside validation before committing engineering time
  • You need a fixed-fee sprint that reduces rework and political confusion

This isn't the right fit if...

  • You already have signed-off requirements and only need implementation labor
  • You want a long requirements-gathering process with no hard prioritization
  • The business stakeholders are unwilling to answer basic questions about the decision they are trying to improve

What you get

Translation document

Business questions mapped to metric definitions, models, source systems, and dashboard or workflow outputs.

90-day roadmap

A realistic sequence of what to build first, what depends on foundation work, and what should be deferred.

Stakeholder alignment

A concrete artifact you can use to confirm the business and data team are talking about the same thing.

Implementation path

A next step into Data Foundation or scoped build support if the plan is solid.

How It Works

1

Interview

We talk to the business stakeholders asking for the work, not just the team being asked to deliver it.

2

Decode

We separate the literal ask from the decision, workflow, and metric they are actually trying to improve.

3

Map

We convert that into specific models, source dependencies, definitions, and outputs your team can build.

4

Prioritize

You leave with a tighter roadmap and clearer political cover for what should happen next.

Get the framework we use to translate business asks into build plans

Not ready to book yet?

Get the framework we use to translate business asks into build plans

When stakeholders ask for better analytics, they usually mean three different things. This framework shows how we turn vague requests into concrete metric definitions and delivery priorities so your team stops building the wrong thing.

  • How we separate the real question from the stated request
  • The operating questions we ask before recommending a warehouse rebuild versus a quick reporting fix
  • A practical way to align data, product, and leadership on what gets built first
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Where this usually leads

Venture-Funded B2B Platform

Legacy ETL migration landed in 8 weeks without losing business logic

The migration worked because we translated the business logic before touching any infrastructure. Eight weeks from legacy ETL to BigQuery/dbt with nothing lost in translation.

Read case study

Mid-Market SaaS Data Team

Pipeline reliability moved from constant firefighting to 99%+ uptime

The team knew the pipelines were fragile but couldn’t get alignment on what to fix first. We translated the business requirements into an executable plan — uptime went from firefighting to 99%+.

Read case study

Ready for the full engagement?

Need the full data build, not just the translation?

If the translation sprint reveals that the underlying data infrastructure needs real work — pipeline gaps, missing governance, brittle models — Data Foundation turns that build plan into a production system.

Explore Data Foundation

Go Deeper

If the real issue is not bandwidth but translation, the data foundation work starts here.

See Data Foundation

Related Reading

Common questions before booking this sprint

Is this just requirements gathering?

No. The sprint is designed to force prioritization, expose hidden assumptions, and convert vague stakeholder asks into a build sequence your team can actually execute. It is more opinionated than a generic discovery process.

Who needs to be involved?

Usually one or two business stakeholders who are asking for the work, plus the person accountable for delivery on the data side. If those groups never talk directly, that is usually the first problem to fix.

Can this still help if the internal data team will do the build?

Yes. In many cases the value is giving the internal team a clearer map, better political cover, and fewer ambiguous requests before they spend engineering time.

What happens after the sprint?

Some teams take the roadmap and execute internally. Others bring us in for the specific Data Foundation or implementation work the sprint surfaced. Either way, the output is meant to reduce rework immediately.

If the ask keeps changing, translate it before you build it

This is the right starting point when the business wants answers fast, the data team wants clarity, and nobody wants another quarter of rework.

Book a Discovery Call
Book a Discovery Call