Help new Pros succeed earlier, so they build trust in the platform, and ultimately generate more value for both Pros and FingerPin.
Pros often have to wait to be matched with leads (“I just wait around”). They want the ability to browse and choose jobs themselves.
Some leads are too far away or outside the Pro’s specialty. Pros waste time filtering through irrelevant jobs.
Homeowners tend to hire the first available Pro who responds. Slow response times mean lost opportunities.
Many posts have vague descriptions or no photos, making it hard to assess value and scope.
Even after responding quickly, many Pros never hear back. Or older jobs are often already taken.
To solve the discovery problem, I designed the Opportunities List and Job Detail experiences with three priorities
The second requirement and the most critical for monetization is messaging homeowners and automatically converting to a Lead upon response.
Here’s how I approached it:
Effortless Messaging for Busy Pros: Pros can use AI-powered quick replies or voice-to-text commands to send a message instantly, even while on a job site. No need to type lengthy responses.
Clear Homeowner Nudges: When a homeowner receives a Pro’s message, they see one-tap options like ‘Interested’, ‘Not right now’, or ‘Already hired’. This reduces drop-off and encourages fast replies.
Automatic Lead Conversion: As soon as a homeowner replies the opportunity is converted into a Lead in the Pro’s ‘Leads’ tab. This keeps everything in one workflow and makes it clear when payment is triggered.
Feedback Loop: If a homeowner indicates the job is closed, that opportunity is automatically marked as ‘Taken’, reducing wasted effort for other Pros.
This flow ensures Pros only pay when there’s real engagement, homeowners get faster quotes, and FingerPin drives incremental revenue.
Based on the problem statement, I created quick paper wireframes to explore possible solutions before moving into digital design. These sketches helped me rapidly test different layouts and prioritize key user needs. Below are some highlights that demonstrate how I approached filtering, job details, and the messaging flow.
After exploring concepts in low-fidelity sketches, I translated the best ideas into high-fidelity wireframes. This design reflects the solutions to core user pain points:
Filtering tools allow Pros to customize opportunities by distance, job type, and budget, helping them quickly find the most relevant jobs.
Recency and competition indicators show how fresh the posting is and how many Pros have already responded, so users can decide whether it’s worth pursuing.
Structured job details (location, description, photos, urgency, budget) give Pros the clarity they asked for in interviews, reducing uncertainty and wasted time.
Quick-action messaging with pre-written prompts enables busy Pros to respond on the go, even while working on other jobs.”
Goal: Make it easier and more rewarding for homeowners to provide the details Pros care about most — without feeling like a chore.
Break It Into Bite-Sized Steps (Progressive Disclosure)
Instead of one big form, use 3–4 small screens:
Service Type & Job Category (multi-choice tiles with icons)
Location (auto-fill from GPS or typed address)
Details & Scope (e.g., Rooms to paint: □ Kitchen □ Living room □ Bedroom)
Timeline & Budget (multi-choice: Urgent – this week/ Flexible – this month)
Photos Upload (optional but highly encouraged)
Why: Small, single-topic steps reduce form fatigue and increase completion rate.
Other Suggestion
Explain the Benefit at Every Step
Small prompts like:
“Adding photos can get you 3× more responses from Pros.”
“The more detail you give, the better your match — and quotes.”
“Pros near you will see this first if you post now.”
Add Smart Defaults & Suggestions
If user selects “Interior Paint,” auto-suggest questions like “Which rooms?” or “Include ceiling?”
If they choose “Roof Repair,” suggest “Upload a photo of the damaged area.”
Together, these solutions address both user and business pain points:
