Uncover the "Why" Behind
Feature Requests

Product managers rely on customer feedback to build roadmaps, but feature requests sent via email or standard forms lack critical context. A user asking for an "export button" isn't helpful unless the product team understands *why* they need to export the data and what they do with it afterward.

Current product feedback loops are fundamentally broken. Feature boards and simple text polls encourage users to upvote generic ideas without explaining their underlying problem. When a PM sees 50 requests for a "dashboard update," they still have no idea what specific workflow those 50 users are trying to accomplish.

Reaching out to schedule user interviews is time-consuming and often yields low participation rates. Product teams end up building features based on assumptions or the loudest voices, leading to shipped features that nobody actually uses because the root problem was misunderstood.

Sayify gives product teams a way to capture the vital "why" behind every feature request. By guiding users to verbally explain their workflow constraints and submit structured context around their role, PMs get rich, qualitative user research at scale, enabling them to prioritize the roadmap based on real, deep-rooted customer pain rather than superficial feature tallies.

Sayify acts as an asynchronous user interview platform. Instead of forcing users into a sterile text box, Sayify prompts them to explain their workflow naturally using their voice. When a user speaks about their daily routine, they inevitably provide peripheral details, tone, and edge-cases that they would never bother typing out.

Sayify structures this qualitative goldmine by surrounding the voice response with targeted questions. The workflow can ask users to rate their current frustration level, select which department they work in, and classify the feedback type. This provides PMs with a highly organized database of rich user stories that clearly identify *who* needs a feature, *how bad* the pain is, and *why* it matters—the exact data needed to prioritize a roadmap intelligently.

1. Dropdown choice: Ask what part of the product they are providing feedback on
2. Voice response: Ask them to describe what they are trying to achieve
3. Short text or Voice: Ask them how they currently work around this limitation today
4. Opinion scale: Use a rating scale to have them indicate how critical this issue is to their daily work
5. Text input: Ask for their role/job title to segment the data
6. Consent: Provide an opt-in checkbox to let product teams follow up for beta testing

• Voice Recording: Captures the 'why'—the emotion, workflow nuances, and specific user complaints text misses.
• Rating / Opinion Scale: Quantifies the severity of the request to help gauge priority.
• Dropdown / Options: Categorizes the feedback into specific product areas or feature modules.
• Checkboxes / Consent: Easily builds a roster of highly-engaged users willing to participate in future beta tests.

• Product management teams in B2B and B2C SaaS
• UX researchers and designers
• Customer success teams channeling feedback to product

Sayify immediately translates the user's spoken feedback into text, extracting the core themes. This structured package can be piped directly into product management tools like Linear, Jira, or Productboard.

When the product team sits down for sprint planning, they aren't just looking at a stateless list of feature requests. They can actually listen to the raw audio of five different users passionately explaining why a specific limitation costs them an hour a day. This deep empathy drives better design decisions, aligns engineering teams with the user's pain, and cleanly documents the business case for new features.

• Significantly deeper understanding of actual user workflows
• Data-driven, confident roadmap prioritization
• Better alignment between product, engineering, and the end-user
• Automated creation of a targeted beta-tester list