Nobody likes irrelevant questions. If someone tells you they’re only interested in exterior painting, asking about interior finishes wastes their time and makes your estimator feel generic rather than tailored.
The solution is conditional logic, a feature that shows or hides questions based on how someone has answered previous questions. Your estimator adapts to each visitor, presenting only what’s relevant to their specific situation.
How Conditional Logic Works in Practice
Imagine you run a landscaping company offering pools, patios, and lawn care. Early in your estimator, you ask which services the visitor is interested in.
If they select pools, follow up questions about pool size, heating preferences, and cover options appear. If they don’t select pools, those questions never show up at all. The visitor only sees what matters to them.
This adaptation happens dynamically as people progress through your estimator. Each answer can trigger or suppress subsequent questions, creating a personalized flow for every visitor.
The User Experience Improvement
Shorter estimators get completed more often. Every unnecessary question increases the chance someone abandons the process. Conditional logic lets you gather comprehensive information without subjecting everyone to every possible question.
A homeowner considering a small patio doesn’t need to answer questions about commercial landscape maintenance. Someone looking at basic lawn care doesn’t need to wade through luxury hardscaping options.
By showing only relevant questions, your estimator respects visitors’ time. They feel like the tool understands their needs rather than forcing them through a generic survey. That improved experience translates directly to higher completion rates.
Condition Types and Flexibility
Priceguide supports multiple condition types to handle different scenarios.
“Answer equal to” triggers when someone selects a specific option. Only show pool heating questions if they selected “Yes” to wanting a pool.
“Answer is one of” triggers when someone selects any of several specified options. This is particularly useful with multi select questions where visitors might choose several services. Show decking material questions if they selected either “Patio” or “Deck Extension.”
“Answer is not” triggers when someone didn’t select a specific option. Show alternative flooring options if they didn’t choose tile.
You can layer multiple conditions on a single question, requiring several criteria to be met before the question appears. This flexibility handles even complex service offerings with many interdependent options.
Industry Examples
The value of conditional logic becomes clear when you consider specific use cases.
HVAC contractors can show duct cleaning questions only to visitors with central air systems. Those with ductless mini splits skip that section entirely.
Kitchen remodelers can ask about island features only when someone indicates they want an island. No point discussing island countertop options for a galley kitchen renovation.
Pool builders can display maintenance package options only for new construction, skipping them for repair inquiries.
Roofing companies can show material upgrade questions only for full replacement projects, not repairs.
In each case, the estimator becomes smarter and more efficient by responding to what visitors actually tell you about their needs.
Building Effective Conditional Logic
Start simple. Identify the major branching points in your services where certain questions only apply to certain customers. Implement those conditions first.
Test thoroughly. Walk through your estimator as different types of customers would, verifying that the right questions appear and irrelevant ones stay hidden.
Don’t over engineer. The goal is a better user experience, not an infinitely complex logic tree. If conditions become too tangled to understand and maintain, simplify.
Use the preview function to see exactly how different paths through your estimator will work before publishing changes to your live version.
Conditional logic is one of the most powerful features for creating estimators that feel personalized, efficient, and genuinely helpful to every visitor who uses them.
