tl;dv Surveys Integration

tl;dv records meetings and generates AI-powered summaries and transcripts. Responsly adds a structured feedback layer — sending surveys to attendees while the conversation is fresh, then linking every response back to the recording it refers to.

For sales teams reviewing prospect calls, managers coaching reps, and facilitators improving workshops, this pairing creates a feedback loop where ratings and comments are never disconnected from the conversation that prompted them. Every data point has a recording you can replay.

The gap between recording and understanding

Meeting recordings capture what was said. They don’t capture how participants felt about the conversation. A prospect might sound engaged on a discovery call but privately think the demo missed their core use case. A workshop attendee might nod along but leave confused about the action items.

Post-meeting surveys close that perception gap:

• satisfaction ratings reveal whether the meeting achieved its goal from the attendee’s perspective,
• specific feedback questions identify which segments of the conversation worked and which fell flat,
• open-ended comments surface objections, confusion, or enthusiasm that participants didn’t voice live,
• and linking survey data to the recording gives reviewers both the subjective response and the objective record.

Without structured feedback, meeting recordings are retrospective archives. With it, they become coaching and improvement tools. For strategies on acting on this kind of feedback, see customer care best practices.

Use case: post-sales-call prospect satisfaction surveys

A B2B sales team sends a three-question survey after every discovery call recorded in tl;dv: “How well did the rep understand your needs?” (1–5), “What topic should we cover in the next call?”, and an overall satisfaction rating.

The impact after one quarter:

• prospects who rated understanding below 3 were 74% less likely to advance past the proposal stage,
• the sales manager used low-rated call recordings to build a coaching library of common missteps,
• reps who received targeted coaching improved their average prospect satisfaction from 3.1 to 4.2 within eight weeks.

The feedback-to-recording link meant coaching was always grounded in a specific, reviewable conversation — not abstract advice. Learn more about building effective feedback questions in our guide on best customer satisfaction survey questions.

Use case: meeting effectiveness feedback for internal teams

An engineering organization surveys participants after weekly stand-ups, sprint retrospectives, and planning sessions. Questions include: “Was this meeting a good use of your time?” (yes/partially/no), “What would improve this meeting?”, and an effectiveness score (1–5).

After eight weeks of data:

• sprint planning meetings scored 2.4 out of 5 — the lowest of any recurring meeting type,
• open-ended responses pointed to unclear acceptance criteria as the primary issue,
• the team restructured planning sessions to require pre-written acceptance criteria, and the score rose to 3.9 within three sprint cycles.

The tl;dv recordings of low-scoring meetings gave the team lead concrete examples of where planning conversations went off track.

Use case: workshop participant surveys with recording context

A training team runs monthly product workshops for customers. After each session, attendees receive a survey: content clarity (1–5), pace (too slow / just right / too fast), most valuable segment, and “What question wasn’t answered?”

Results over six workshops:

• pace was rated “too fast” by 43% of attendees in technical workshops but only 11% in overview sessions,
• the team slowed technical workshops by 15 minutes and added a Q&A segment,
• unanswered-question responses were compiled into a FAQ document linked alongside the recording, reducing post-workshop support tickets by 35%.

Use skip logic to show different follow-up questions based on the pace rating — respondents who said “too fast” see a question about which specific section needed more time.

Use case: customer advisory board feedback linked to meeting notes

A product team hosts quarterly advisory board sessions with key customers, recorded in tl;dv. After each session, board members receive a survey: priority ranking of discussed roadmap items, satisfaction with the session format, and open-ended strategic input.

The structured data:

• roadmap priority rankings from 12 advisory board members were aggregated into a weighted score that directly influenced the next quarter’s prioritization,
• the product team cross-referenced low-format-satisfaction responses with tl;dv timestamps to identify when engagement dropped — typically during slide-heavy segments,
• advisory sessions restructured around interactive discussion scored 4.6 out of 5, up from 3.3 when the format was presentation-heavy.

What data connects between tl;dv and Responsly

Each survey response is stored with:

• numerical ratings (satisfaction, clarity, effectiveness) as structured scores,
• multiple-choice answers (pace, priority rankings, meeting value) as categorical data,
• open-ended text comments as qualitative feedback,
• meeting metadata (host, type, duration, date, attendee count) as automatic context,
• and a direct link to the tl;dv recording and AI summary for full review.

Start collecting meeting feedback that sticks

Connect tl;dv to Responsly, set up your first post-meeting survey template, and turn every recorded conversation into a structured feedback opportunity — with the recording always one click away for context.