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Fygurs Use Cases:
AI-Driven Product Management in Action

Fin-Tech SaaS company: Fragmented Data and Fuzzy Outcomes

The challenge

At a growing fintech SaaS company, the Head of Product faced a different kind of chaos: data and planning were fragmented across the organization. The firm had plenty of customer data and ideas, but these were siloed – feature requests in one system, development tasks in another, and outcome metrics in yet another. As a result, it was painfully difficult to tell which product initiatives were actually driving business outcomes. The product roadmap often evolved on assumptions rather than insights, and come quarter-end, tying delivered features to revenue or customer retention felt like guesswork. In fact, this “leap of faith” approach to product planning is common – only about 28% of executives can explicitly link projects to strategic goals

How Fygurs helps?

Fygurs was introduced as the connective tissue to bring everything together. Once implemented, it integrated all the team’s data and tools into a coherent whole. Ideas from customer feedback, OKRs from management, development progress in Jira, and performance analytics all flowed into Fygurs. This gave the Head of Product a living roadmap where each feature idea could be traced through to development status and into its actual results. No more fuzzy guessing – she could see, for example, that the new onboarding flow shipped in May directly led to a 15% bump in new-user 7-day retention, as the KPI dashboard updated in real time. Fygurs also enabled dynamic course correction: if a feature underperformed or a metric went off-target, the system flagged it immediately (rather than it slipping through until a quarterly review). Armed with these insights, the Head of Product began adjusting the roadmap on the fly – dropping low-impact projects before they soaked up resources and doubling down on features that proved their value. Crucially, Fygurs fostered organization-wide visibility. Marketing and sales could log into the same dashboard to see what product updates were coming and how last quarter’s releases affected key metrics, ending the data silo problem.

Results

Fygurs gave the team a single pane of glass to connect strategy with outcomes, and the improvements were tangible. Key wins included:

  1. Unified Data, Immediate Insights: By eliminating 5 disparate tools and creating one source of truth, the company saved countless hours and reduced miscommunication. The product team no longer had to manually compile reports from various systems, improving efficiency by an estimated 30%.
  2. Roadmap to Outcomes Alignment: Every feature on the roadmap is now linked to a clear success metric. This clarity paid off – the company’s last release cycle hit 90% of its target KPIs, a sharp improvement from roughly Fifty-Fifty success rates before. The Head of Product could demonstrate, with data, how each initiative contributed to quarterly objectives, building enormous credibility with the CEO and CFO.
  3. Better ROI on Development: With Fygurs highlighting what works and what doesn’t in real time, the team reallocated effort to higher-value projects. In one quarter, they identified and cut two planned features that would have consumed several sprints but delivered minimal customer value. Those resources were redirected to an AI-driven recommendation feature that ended up boosting upsell revenue by 12%. In short, Fygurs helped the company invest in the right ideas – and the outcomes showed up on the bottom line.

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