Survey Data

Client Background: A Series D B2B SaaS company headquartered in Austin, Texas, serving 3,200 enterprise clients across North America and Western Europe, with a product team of 45 and an annual research budget exceeding $1.2M.

Challenge: The client conducted quarterly NPS and product satisfaction surveys but faced a critical problem: their internal team required 4–6 weeks to process, code, and analyze 35,000+ open-ended responses per cycle. By the time insights reached product leadership, strategic windows had closed and competitors had already acted on similar market signals.

Solution: Hir Infotech deployed a fully automated survey data processing pipeline integrated directly with the client’s Qualtrics environment. Our AI-powered NLP engine coded open-ended responses in real time, applying a custom taxonomy developed in collaboration with the client’s product team. Cross-tabulations by plan tier, user role, geography, and company size were auto-generated and delivered as Tableau-ready extracts within 48 hours of survey close.

Results: Survey data processing time dropped from 5 weeks to under 48 hours. Open-ended coding accuracy improved from an estimated 81% (manual) to 99.1% (AI-verified). Product leadership began receiving insight dashboards the morning after survey close, enabling same-sprint product prioritization for the first time. Annual research operations savings exceeded $340,000.

Client Testimonial: “Hir Infotech didn’t just speed up our survey processing — they fundamentally changed how we use research. We now make product decisions based on data that’s 48 hours old, not 6 weeks old. That’s a competitive advantage you can’t overstate.” — Chief Product Officer, Austin, TX

Client Background: A pan-European specialty retail group with 420+ stores across Germany, Netherlands, Austria, and Belgium, conducting bi-annual customer experience surveys via their proprietary app and post-purchase email flows.

Challenge: With surveys running in four languages and 280,000+ responses per cycle, the client’s internal data team was overwhelmed. Cross-country comparability was poor due to inconsistent coding schemas applied by different regional teams. GDPR compliance documentation was incomplete, creating regulatory exposure.

Solution: Hir Infotech established a centralized, GDPR-compliant survey data processing hub handling all four language streams simultaneously. We applied a unified coding taxonomy across German, Dutch, English, and French responses using our multilingual NLP model. Automated anonymization workflows ensured full GDPR Article 5 compliance, with audit-trail documentation generated at each processing stage.

Results: Cross-country comparability scores improved by 94% as measured by internal research quality audits. Processing cycle time reduced from 8 weeks to 6 business days. GDPR compliance documentation was fully resolved, removing a material regulatory risk flagged by the client’s DPO. Customer experience scores showed 18% improvement in the following quarter after product teams acted on newly accessible insights.

Client Testimonial: “We finally have one version of the truth across all our markets. Hir Infotech built something our internal team had been trying and failing to build for three years — in about twelve weeks.” — Head of CX Strategy, Amsterdam

Client Background: A UK-based health outcomes research organization conducting patient experience and clinical staff surveys across 14 NHS Trust partner sites, funded by a combination of government grants and private healthcare commissions.

Challenge: Survey responses contained highly sensitive patient data requiring strict anonymization and UK GDPR compliance. The organization’s legacy processing workflow used manual data entry and basic Excel analysis, resulting in significant data quality issues, a 10-week analysis cycle, and limited ability to surface patient subgroup insights.

Solution: Hir Infotech designed a bespoke survey data pipeline with end-to-end pseudonymization, automated anomaly detection for data quality issues, and AI-powered cross-tabulation by patient demographic, site, and condition category. All data was processed within a UK-based, ISO 27001-certified environment. Delivery was structured as a Power BI-integrated dashboard accessible to clinical leads at each partner site.

Results: Processing time reduced by 76% (from 10 weeks to 2.4 weeks). Data quality anomalies detected and corrected pre-analysis increased by 340% vs. the previous manual process. Trust-level dashboards enabled site leads to identify patient experience gaps and act within the same reporting quarter for the first time. One Trust used the data to reduce emergency readmission rates by 11% over two quarters.

Client Testimonial: “The quality and speed of Hir Infotech’s work genuinely changed what we could deliver to our NHS partners. Insights that used to take three months now land in two weeks — and they’re more accurate.” — Research Director, London

Client Background: A Zurich-headquartered asset management firm with operations across Switzerland, Austria, and Germany conducting annual institutional investor confidence surveys and bi-annual client satisfaction studies among 4,800+ HNWI and institutional clients.

Challenge: Survey data was processed by a boutique research agency that lacked the AI capabilities to handle multi-language open-ended response volumes (German, French, Italian) at the required accuracy level. Manual coding introduced inconsistencies, and the firm’s compliance team required SOC 2 and ISO 27001 data handling certifications the agency could not provide.

Solution: Hir Infotech deployed a fully certified, multi-language survey data processing pipeline with dedicated Swiss data residency to satisfy financial regulatory requirements. Our trilingual NLP model (German, French, Italian) coded 22,000+ open-ended responses per cycle at 99.3% accuracy. Automated compliance documentation was generated for each data processing activity, and final datasets were delivered directly into the client’s internal BI infrastructure via secure API.

Results: Open-ended coding accuracy improved from 74% (estimated manual) to 99.3%. Compliance documentation was fully resolved within two processing cycles. Survey insight delivery accelerated by 61%, enabling the client’s investment committee to incorporate investor sentiment data into quarterly strategy reviews for the first time. The firm renewed for a three-year contract in the first year.

Client Testimonial: “Hir Infotech understood that accuracy and compliance aren’t optional in financial services — they’re the baseline. They delivered both, and made our research operation genuinely world-class.” — Head of Client Intelligence, Zurich

Client Background: An Australian-headquartered cross-border e-commerce platform with 2.1 million registered buyers and seller operations in Australia, UK, and Germany, conducting monthly customer satisfaction and seller experience surveys across all three markets.

Challenge: Monthly survey volume exceeded 90,000 responses across three languages (English, German, and partial French). Internal analysts spent 60% of their working hours on data cleaning and basic reporting rather than strategic analysis. NPS trends were only visible quarterly due to processing delays — too slow for a platform optimizing conversion rates and seller retention in real time.

Solution: Hir Infotech integrated directly with the client’s survey platform via API, establishing an automated real-time processing pipeline. AI-driven data cleaning removed duplicate, incomplete, and bot-submitted responses automatically. Monthly NPS and CSAT dashboards were replaced with a live, auto-refreshing intelligence layer updated every 24 hours. Custom alerts notified CX leaders when NPS scores dropped below threshold in any individual market or user segment.

Results: Internal analyst time spent on data processing reduced by 74%. Real-time NPS visibility enabled the product team to identify and resolve a checkout friction issue in Australia within 11 days of its appearance in survey data — estimated to have prevented $2.3M in annual revenue loss. Survey data processing cost per response dropped by 58%.

Client Testimonial: “We went from monthly snapshots to daily intelligence. Hir Infotech’s pipeline runs in the background and just works — our analysts now spend their time on strategy, not spreadsheets.” — Director of Data and Analytics, Sydney

Client Background: A Paris-based industrial manufacturing group with facilities across France, Spain, and Italy conducting annual employee engagement surveys (18,000+ employees), quarterly supplier satisfaction studies, and bi-annual customer benchmarking surveys.

Challenge: Three separate survey programs, three internal teams, three different data formats, and no unified analytics capability. Senior leadership could not compare employee, supplier, and customer sentiment data in a single view. Multi-year trend analysis was impossible due to inconsistent coding across cycles.

Solution: Hir Infotech unified all three survey programs under a single data processing architecture, applying consistent coding taxonomies, harmonized question mapping, and AI-driven multi-year trend analysis. A unified executive dashboard integrating employee, supplier, and customer survey intelligence was delivered in French and English, with automated year-over-year benchmarking and segment-level drill-down.

Results: Executive reporting cycle reduced from 14 weeks to 3 weeks. Multi-year trend analysis was established for the first time, revealing a strong correlation between employee engagement scores and customer satisfaction NPS that the client’s leadership team had hypothesized but never been able to quantify. The correlation finding informed a €4.2M workforce investment decision in the following fiscal year.

Client Testimonial: “Hir Infotech connected data that had been sitting in silos for eight years. The business case we were able to build from that single unified view justified their entire engagement cost many times over.” — Group Chief Data Officer, Paris

Client Background: A US-UK HR technology company providing pulse survey and engagement analytics software to 600+ enterprise clients, needing to enhance their internal data science capability with external survey data processing support for a new AI-driven benchmarking product.

Challenge: The platform’s new benchmarking product required anonymized, normalized survey data from cross-industry sources to build statistically robust benchmark indices. Internal data science capacity was insufficient for the volume and complexity of multi-source survey data harmonization required for the product launch timeline.

Solution: Hir Infotech designed and delivered a survey data harmonization pipeline processing inputs from 14 different survey instruments across 12 industries. AI-driven normalization mapped divergent question formats, response scales, and demographic variables onto a unified benchmark schema. All processing followed GDPR (EU/UK) and CCPA compliance frameworks, with full audit documentation provided for the client’s enterprise customer DPA requirements.

Results: Product launched on schedule, four months after engagement start. Benchmark indices covered 12 industries, 8 geographies, and 240,000+ anonymized survey records. The product’s launch was cited by three major enterprise clients as a primary reason for contract renewal. The client expanded the engagement scope to cover ongoing quarterly benchmark data updates.

Client Testimonial: “Hir Infotech’s ability to take messy, multi-format survey data and turn it into clean, compliant benchmark intelligence is exceptional. They moved as fast as a startup and with the rigor of an enterprise data team.” — VP of Product, London/New York