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Case Studies

Real Problems, Real Fixes

A look at the kind of work we do — anonymized to protect client confidentiality, but grounded in the actual gaps startups run into as they scale.

The Pattern Across Engagements

5 weeks
Typical timeline for a full DPDP compliance build-out
60-90%
Typical reduction in manual status/reporting time
100%
Engagements starting with a free consultation
Fintech / Digital Lending

DPDP-ready in 5 weeks, from zero formal compliance framework.

The Challenge

A Series A digital lending startup had a privacy policy and basic consent checkboxes, but no formal data processing register, no DPIA process, and no breach response protocol. With a lending license renewal and an upcoming investor due diligence round approaching, leadership needed to close the gap fast — without pulling engineering off the roadmap for months.

Our Approach

We ran a full DPDP readiness assessment first, mapping every point of data collection across the product. From there, we built a data processing register, designed a consent management framework aligned to actual user flows, and created a breach response SOP with clear escalation timelines. The engagement ran as a fixed, project-based deliverable over five weeks, with weekly working sessions alongside the product and engineering leads.

The Outcome

The company passed investor data-protection due diligence without a single follow-up question on compliance gaps, and now has a documented, repeatable process for reviewing new features against DPDP requirements before launch — instead of retrofitting compliance after the fact.

SaaS / Product

Cut weekly status-reporting time from 4 hours to under 30 minutes.

The Challenge

A growing B2B SaaS team had adopted Jira early but never configured it properly — inconsistent workflows across squads, no shared dashboard, and a product lead who spent nearly half a day every week manually compiling a status update for leadership from five different boards.

Our Approach

We standardized Jira workflows across all squads, built custom leadership and team-level dashboards, and set up automation rules to handle routine status transitions and notifications that had previously been manual. The engagement ran as a project-based Jira & Confluence setup, with a short fractional retainer afterward to refine the dashboards based on real usage.

The Outcome

Weekly status reporting dropped from roughly four hours of manual compilation to under 30 minutes of review, and leadership now checks the dashboard directly instead of waiting for the weekly update — freeing the product lead to spend that time on actual product work.

D2C / Operations

Consolidated 3 separate spreadsheets into one KPI source of truth.

The Challenge

A scaling D2C brand was tracking performance across three separate spreadsheets maintained by different team members — marketing, operations, and finance — each with slightly different definitions of the same metrics. Leadership meetings routinely turned into debates about whose numbers were correct instead of decisions about what to do next.

Our Approach

We ran a KPI definition workshop to agree on a single set of metrics and ownership across teams, then built a consolidated Google Sheets dashboard pulling from each team's underlying data, with automated rollups replacing manual entry. The engagement was delivered as a project-based KPI and dashboard build.

The Outcome

The team now works from one shared dashboard with agreed-upon metric definitions, and leadership meetings shifted from reconciling numbers to actually discussing what the numbers mean — saving an estimated 3+ hours per week across the team previously spent manually maintaining separate trackers.

Want Results Like These?

Every engagement starts the same way — a conversation about what's actually broken, not a generic pitch.