ApproveThis manages your Qwary Integration approvals.

Why Approval Workflows Need Survey Data

Business decisions thrive on two elements: timely feedback and clear accountability. Qwary’s survey platform captures critical insights from customers, employees, or partners, while ApproveThis turns those insights into actionable decisions. Together, they create a closed-loop system where data drives approvals, and approvals trigger smarter follow-up actions. This integration isn’t just about automation—it’s about creating a rhythm between listening and acting.

For example, marketing teams can use survey results to refine campaign strategies, but only if stakeholders approve changes quickly. HR departments might collect employee feedback but need executive sign-off to implement policy updates. By connecting Qwary and ApproveThis through Zapier, businesses eliminate manual handoffs, reduce delays, and ensure every decision aligns with real-world data.

How This Integration Solves Real Problems

ApproveThis adds structure to Qwary’s flexibility. While Qwary excels at gathering unstructured feedback through surveys, ApproveThis introduces governance by routing responses to the right people, enforcing approval rules, and documenting decisions. Here’s where they shine together:

Use Case 1: Rapid Response to Customer Feedback

A hospitality company uses Qwary to survey guests post-stay. Negative feedback about room cleanliness triggers an ApproveThis workflow to escalate the issue. The maintenance team receives an approval request with embedded survey data, approves immediate action, and the system automatically logs the resolution. Without this integration, complaints might linger in inboxes or spreadsheets.

Use Case 2: Compliance-Driven Employee Surveys

An HR team distributes quarterly engagement surveys via Qwary. Low scores in a department automatically create approval requests for leadership review in ApproveThis. Executives assess trends, approve budget allocations for team-building initiatives, and Qwary later sends follow-up surveys to measure progress—all without manual data entry.

Key Integration Features You’ll Use

ApproveThis enhances Qwary workflows with features most teams overlook:

• Approval Thresholds: Auto-approve routine survey responses (e.g., 5-star ratings) but escalate low scores requiring human review.
• Calculated Fields: Turn survey metrics into approval criteria. If 40% of respondents flag “slow service,” automatically route to operations.

Meanwhile, Qwary’s granular survey logic (skip logic, branching) ensures ApproveThis only receives relevant data for decision-making. This precision prevents approval fatigue—approvers see only what matters to them.

Setting Up the Integration in 15 Minutes

Using Zapier, connect Qwary and ApproveThis in three steps:

1. Trigger: Select Qwary’s “New Survey Response” as the starting point.
2. Action: Map response data to an ApproveThis request template (include survey scores, open-text comments).
3. Test: Submit a test Qwary response to generate a live approval request.

For advanced setups, add conditional logic in Zapier. Example: Only create ApproveThis requests if survey scores fall below a 7/10. Zapier’s interface makes this intuitive with dropdowns and filters.

Who Benefits Most?

Marketing Teams

When launching campaigns, marketing departments use Qwary to A/B test messaging. If Survey A outperforms Survey B by 15%, ApproveThis automates budget reallocation approvals. Campaign managers spend less time justifying shifts and more time optimizing.

Operations Managers

Post-event surveys (via Qwary) often reveal logistical hiccups. With ApproveThis, ops teams route vendor feedback to procurement for contract renegotiations. Vacation delegation ensures requests never stall if a manager is out.

Customer Success

Clients submitting feature requests through Qwary surveys trigger product prioritization workflows. ApproveThis routes high-demand items to engineering leads while politely declining others via automated emails—all without exposing internal tools to clients.

Why This Pairing Works for External Collaboration

ApproveThis eliminates a common friction point: external approvers. Clients or partners reviewing survey-based requests don’t need Qwary licenses—they approve via email. This keeps costs predictable (no seat inflation) and simplifies onboarding. For instance, a market research firm shares survey findings with clients via ApproveThis. Clients click “Approve” in their inbox to greenlight next-phase studies, while denials trigger revised Qwary surveys to clarify requirements.

Avoiding Common Pitfalls

While powerful, this integration works best when teams:

• Do: Map Qwary survey fields to specific approval criteria in ApproveThis (e.g., NPS score ≥8 auto-approves).
• Don’t: Overload approvers with every survey response. Use Zapier filters to route only exceptions.

Also, leverage ApproveThis’ real-time dashboards to audit decisions tied to survey data. This creates accountability if stakeholders question why a particular response triggered action.

Getting Started

To test the integration:

1. Sign up for ApproveThis (free trial available).
2. Create a Qwary survey (Qwary’s free plan works for testing).
3. Build your first Zap using the “New Entry” trigger and “Create Request” action.

For complex workflows, like multi-region approvals tied to survey demographics, book a demo with ApproveThis. Their team can configure role-based access so European survey data goes to regional managers, bypassing U.S. approvers.

Final Thoughts

Qwary and ApproveThis bridge the gap between data collection and decisive action. They’re particularly effective for organizations drowning in feedback but struggling to act on it. By automating the approval layer, teams convert insights into outcomes faster—whether that’s resolving customer complaints, adjusting budgets, or refining products. Start with a simple Zap, then expand as you see time savings compound.

Next Step: Register for ApproveThis or schedule a personalized demo to see how approval workflows can amplify your Qwary data.