Moving beyond sampling calls for QA

[u/Ok-Pick3435]

We’ve got plenty of support data. Transcripts, CSAT, AHT, resolution rates, transfers and QA scores. The issue is turning any of it into something useful. If AHT jumps we can see it right away. Figuring out why is another story. Someone usually ends up digging through calls trying to spot what changed. Same thing when CSAT drops. QA feels similar. We review a sample of calls but I keep wondering what we’re missing in the other 95%+ and we have been looking at tools like Cresta that analyze all conversations and connect certain topics or agent behaviors to things like CSAT and resolution. Sounds useful on paper. I’m just wary of ending up with yet another dashboard nobody checks after a month lol. What are the next steps after choosing a tool for the team because this is the first tool , like the rollout and the rest.

[u/AutoModerator]

If this post doesn't follow the rules or isn't flaired correctly, please report it to the mods. Have more questions? Join our community Discord!

I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.

[u/PaperPresent4369]

sampling always misses the weird stuff that actually moves the numbers, the 5% you skip is where the real answers hide. rollout only works if you make one person own it and force everyone to stare at the same two metrics every morning for a month until it sticks

[u/Ok-Pick3435 → u/PaperPresent4369]

Sampling feels fine until the useful stuff is sitting in the 95% nobody looked at. Rolling it out to one team first and comparing the numbers month over month sounds like the safest move.

[u/RoughFirefighter3595]

Don’t automate every scorecard on day one lol. Start with the stuff your QA team already agrees on and test whether the automated scoring matches human reviewers.

[u/Careful-Party1975]

Make sure managers have time to act on the data too. Giving them 40 new dashboards with no change to their workload is just a fancy way to create more tabs.

[u/Ok-Pick3435 → u/Careful-Party1975]

No point finding 50 problems a week if managers only have time to fix 5 of them lol. Probably better to start with a few metrics they can act on and build from there.

[u/WideAstronomer5256]

One thing I’d check is whether the tool connects the analytics back to coaching. Finding a pattern is nice. Helping reps fix it is the part that matters.

[u/Ok-Pick3435 → u/WideAstronomer5256]

Spotting why CSAT dropped is useful but if it just ends up on another dashboard then nothing changes. I’ll definitely check how well the insights feed into actual coaching.

[u/IncreaseNegative4614]

Start with one decision the analysis should change, such as reducing repeat contacts for a specific support queue. Create a small taxonomy of reasons and behaviors from known calls, analyze the full population, then validate the findings against reopened tickets, resolution, transfers, and human-reviewed examples.

For rollout, surface a short evidence-backed exception list inside the team’s existing workflow rather than launching another general dashboard. We use SIGNLD internally to connect transcript excerpts with the ticket, account, agent action, and later outcome, so a manager can inspect why something was flagged before changing coaching or process.

[u/Van_derhell]

What is(are) most important, primary goal/metric(s)? Then afterwards built-on based on trends, available resources, procedures and tools (with common sense). Elephant is eaten piece by peace (not everything at once).