Digitizing Project Management for a Construction Firm

La Sfida

The organization ran on systems built a decade ago. Staff spent hours on manual data entry that should have taken minutes. Customer information lived in separate spreadsheets across three departments, and response times to client requests were getting worse, not better.

Il Nostro Approccio

Ricerca, Analisi e Fondamenta Strategiche

• Pulled user behavior data from every touchpoint and found where people were leaving and why
• Benchmarked against five competitors to see what was working in the market and what was not
• Set up a measurement framework tied to actual business outcomes, not vanity metrics

Design, Sviluppo e Implementazione

• Built the core platform features, prioritizing the ones users asked for most
• Set up analytics so the team could see what was happening in real time instead of waiting for monthly reports
• Automated the repetitive workflows that were eating 15+ hours per week
• Connected the separate systems into one data pipeline so every team worked from the same numbers

Lancio, Ottimizzazione e Scalabilità

• Scalate le campagne che funzionavano e chiuse quelle che non funzionavano
• Espansione in due segmenti di mercato adiacenti che i dati iniziali indicavano come promettenti
• Firmati accordi di partnership con tre aziende complementari per raggiungere nuovi pubblici
• Costruiti programmi di retention focalizzati sui primi 90 giorni, dove avveniva la maggior parte del churn

Cosa Abbiamo Imparato

1. Over 70% of user sessions in every European market we entered came from mobile devices. Designing for desktop first and adapting for mobile was backwards.
2. Talking to customers every two weeks caught problems that the analytics dashboards missed entirely. Qualitative and quantitative data tell different parts of the story.
3. Tre integrazioni con partner hanno generato più iscrizioni di sei mesi di pubblicità a pagamento. Le partnership giuste raggiungono pubblici a cui non puoi comprare l'accesso.
4. Translating the website was not enough. Each market needed different pricing anchors, different trust signals, and sometimes a completely different value proposition.
5. Automating the repetitive work freed up time for the decisions that actually required judgment. The key was knowing which decisions to automate and which to keep manual.

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