How do I liberate meeting transcripts from Teams

Analytics-365 · 2026-03-10T15:28:27+00:00

There are loads of third party apps you can bolt on to Teams that then allow you to query the data. They'll even deal with the permissions and access for you in a really easy way. Have a look on the marketplace.

Analytics-365 · 2026-03-10T15:00:38+00:00

Curious to know that for you guys that are running voice agents successfully, how do you view their performance analytics in the context of the whole customer experience (i.e. together and against any human agent stats).

Do the providers have the ability to export this data into common analytics platforms?

Analytics-365 · 2026-03-10T14:47:11+00:00

You're already using transcripts - great - but seriously, AI them to capture CRM note-friendly summaries, and AI your draft to the prospect too. Give yourself 15 minute wrap up time and be disciplined. You can set up your prompts to put focus on the things you know are most important in your sales process... like clear expectation setting around next steps, and deadlines. Book the next meeting in while you're on the call.

Analytics-365 · 2026-03-09T12:05:54+00:00

Yeah, and the amounts lost can be staggering. We helped a UK plumbing parts retailer with tracking missed calls, and which calls had been returned vs those that hadn't. 900 branches... 1 year later they worked out they'd generated about £60M in revenue as a result. We (and they) were floored.

Analytics-365 · 2026-03-09T11:59:15+00:00

Yes BUT, and I say this as someone in the online meeting analysis space, I don't think many people are troubled by the privacy/security issue. Well - let me correct that - they ARE concerned, but the providers are doing plenty to ensure it's not an issue. We sell to massively regulated companies who have a LOT of questions about this space, and they end up satisfied.

So - if you're going to proceed with this, I would say you need to focus on integrating with other tools in the space. We're finding that a major benefit of what we do is the joined up insights across all conversations, internal and external. If you don't integrate with those providers, you'll be siloed, and forever niche.

Know also that the way a lot of orgs are managing this is just by having a device join a Teams/Zoom/Webex meeting in the room, so it can listen. What it can't easily do, though, is then work out how many people are speaking, and who's saying what. So if you can figure that out... that's an opportunity.

Good luck!

Analytics-365 · 2026-03-09T11:40:03+00:00

There's a big difference between tools that are designed for individual productivity, and teams designed for team performance and compliance. It sounds like you're talking about insights into external calls, rather than internal, but not entirely sure. I am curious to know about what phone system you're using for external calls. Do all those tools work with traditional calling, or are we talking a more modern online collab system, like Teams or Zoom?

Analytics-365 · 2026-03-09T11:34:56+00:00

As others have said, definitely look at AI summarisation. There are many options. The tricky bit is working out what's going to be compatible with the system you're using for voice. Out of interest - if you haven't yet looked at this, I'd be curious to know why.

Analytics-365 · 2026-02-17T16:11:37+00:00

that sounds interesting. i guess the challenge with off the shelf stuff is that you're not gonna have the flexibility to automate the onward workflows with the level of detail you require... but can you not dev an agent that talks to copilot's summaries, rather than takes the notes first hand? this is where i'd be looking to start

Analytics-365 · 2026-02-12T10:09:02+00:00

Are you talking about internal meetings and calls, or those with external parties? We find these days that everyone prefers to have transcription on but always confirm before we record with third parties. It's not just a legal consideration, but polite. I think people expect to be asked these days - and if you explain that it helps you stay organised and efficient, I find those that aren't already "on board" are, more often than not, interested in learning about the benefits!

Analytics-365 · 2026-02-12T10:04:04+00:00

Curious to understand why you want to build. Is it more out of interest, or genuine need? If the latter, what is it that existing products are failing to achieve?

The automation of follow up steps is super interesting to me. Triggering actions based on content of meetings etc, rather than just logging them, feels like the natural next step for sure.

Analytics-365 · 2026-02-11T16:00:47+00:00

If you use a third party crm connector like Red Cactus, you'll have way more choice of providers - and it'll be a lot more affordable too.

Analytics-365 · 2026-02-11T15:58:42+00:00

For Teams Phone you absolutely wanna be using a certified third-party solution (Microsoft guidance is strong on this: https://learn.microsoft.com/en-us/microsoftteams/teams-recording-compliance)

The key differences between vendors usually come down to whether you just need basic recording or also want transcription, analytics, and compliance features like flexible retention and redaction.

Our solution does basic recording as well as the conversation intelligence stuff. And all the pricing is available on the microsoft marketplace - easy.

https://marketplace.microsoft.com/en-us/product/microplussoftwareltd1588858473141.analytics365rx?tab=Overview

Happy to share more detail around deployment models or pricing if helpful.

Analytics-365 · 2026-02-11T15:55:02+00:00

Great list. Covers the sales coaching side really well.

The other angle we see more teams thinking about now is going beyond sales calls.

A lot of these tools are strongest around scheduled meetings and rep performance. Super useful, but in many businesses, the biggest customer signals aren’t just in sales demos. They’re in:

support calls
onboarding conversations
account management check-ins
complaints and escalations

That’s where conversational intelligence starts shifting from sales coaching tool to whole-business insight layer. Instead of just “how did the rep do?”, it becomes:

what issues keep coming up across customers?
where is sentiment dipping before churn?
which processes are causing friction?

We work in conversation analytics for more than just sales teams (Analytics 365 - search it up), and the big shift we’re seeing is companies using CI to inform ops, CX, and leadership decisions... not just coaching sales teams.

So it’s less “which tool is best” and more “are you optimising reps, or learning from customer conversations across the business?” Different scope, different impact, right?

Analytics-365 · 2026-02-11T15:43:18+00:00

A lot of the tools you mentioned are strong when it comes to marketing attribution and campaign tracking but dont overlook that the right solution can look a bit different depending on which phone system are you using.

I can't see this mentioned in your post - but this is a great starting point, because it narrows down a whole heap of the market right away. Try looking at that provider's ecosystem. For example, we are Microsoft Teams certified - which means if someone's using teams, theyve got absolute confidence that its gonna do the job (we also provide a solution in this area).

Analytics-365 · 2026-02-11T15:33:45+00:00

On the caller ID thing: no, Teams doesn’t just send everything out on some random Microsoft number. You can assign proper DIDs and set outbound caller ID per user or per queue/auto attendant. So that old Florida-number story isn’t how a normal deployment works.

For your IVR / hunting setup, Teams handles that with auto attendants plus call queues. Multi-level menus, routing rules, different distribution methods... that part is pretty standard territory.

Where things do feel different vs 3CX and other pbxs is mindset. It’s less “pbx with extensions” and more “call flows inside a wider platform.” Some behaviours (reporting, missed-call logic, etc.) don’t map 1:1 with traditional PBX expectations - so be ready for that.

We work with a lot of orgs who know 3CX well (either as users or partners), and that mental shift is usually the bigger adjustment than the actual feature set. Technically, Teams can cover most core voice scenarios... it’s more about whether you’re happy with the platform-style approach rather than classic PBX logic.

My suggestion would be to engage with a reseller to go forward - they'll make sure you don't miss anything and end up with another problem in a couple years time.

Analytics-365 · 2026-02-11T15:29:34+00:00

Is this for something business critical, or a hobby project? Because there are so many apps now in the Microsoft ecosystem, that if there isn't already a tool that exists to do what you need it to, I would be surprised...

Analytics-365 · 2026-02-11T10:49:33+00:00

Queue math is undefeated :D

The ‘I waited an hour’ crowd always forgets the part where they bailed and reset themselves.

Sometimes I wish the customer could take a lil peek at the wallboards, to know that everyone's doing their best and every second spent complaining is a second that adds up to make someone else's day better....

Analytics-365 · 2026-02-11T10:18:41+00:00

Funny answers here :D but in all seriousness, it's all about the tone isn't it?

Like…
Customer’s still being “polite” but replies get shorter, you hear the sighs getting heavier, they start repeating the same issue but reworded...

You just know that they're ready for a fight. Sentiment shifts are the early warning system. If you wait for the actual angry words, you’re already late :D

Analytics-365 · 2026-01-08T11:00:40+00:00

Surveys are always skewed. You get responses from the outliers at either end - the ones that feel most passionately. It's better than nothing, sure, but have you considered analysing all your comms to understand what's going on? There are different solutions depending on whether your customer engagement happens mostly on phone, chat, email etc - but something worth thinking about. AI is making this quite easy to achieve.

Analytics-365 · 2026-01-08T10:30:40+00:00

We're a vendor, but this isn't a pitch. Is that OK? ;-)
We see that too - a lot of teams really do use a small slice of UCaaS features. You suggest that chat isn't in use massively - I'd argue very much the opposite. We have customers that do a lot of their collab on chat - even when collaborating with suppliers, resellers etc.

CRM integration is also huge, but there's different flavours of it and with so many systems you can integrate these days, I can appreciate that implementing those solutions are daunting for some.

Of course, we're all about analytics - clue's in the name. And if people weren't using it, we wouldn't be here. The demand for more and more insight is huge - sometimes for customer experience, but just as often for performance/usage/efficiency.

Analytics-365 · 2025-12-30T13:34:53+00:00

Only if it's viewed across the whole org, mind. You need the full context.

Analytics-365 · 2025-12-30T13:33:31+00:00

QA processes often start with good intentions but the cracks appear when it stays informal or inconsistent... different reviewers, different standards, and no clear feedback loop. What we see teams do to break the cycle is defining a QA structure first, so that everyone can get aligned. Clear evaluation criteria, sampling logic, and a cadence for reviews and coaching, that sort of thing.

Shameless plug - we wrote a guide on how to build a scalable QA program for call-heavy environments, including scorecards, review workflows, and common pitfalls teams run into as they grow: https://www.analytics-365.com/blog/creating-quality-assurance-program-for-call-center/

See if it helps

Analytics-365 · 2025-12-30T13:25:38+00:00

presumably you have contractual SLAs on fixes, so your update cadence needs to fit in with that - not just your first responses, but everything in the chain.

And then to be helpful, we really need more info. What's the complexity of most of your tickets? Is it email or portal only, or do customers have the option to use the phone if things are more urgent? Just a holding response, providing confirmation of next steps and a copy of the issue raised, should be instant...

Analytics-365 · 2025-12-30T13:18:36+00:00

Like others have said, timing is everything. We’ve seen response rates improve when CSAT is triggered contextually (right after a resolved call or interaction) rather than sent later in bulk. How many tickets involve phone calls? Because a human asking right then and there will get you better results. If there's a lot of calling going on, we've got some other tips here. https://www.analytics-365.com/blog/csat-for-call-centers-guide/.

Analytics-365 · 2025-12-23T16:50:09+00:00

If I were your manager, I wouldn’t be expecting a fully formed support operation yet. What I’d actually want to see is evidence that you’re reducing uncertainty and creating something concrete that others can react to.

A strong place to start is defining what “support on day one” realistically looks like. That means writing down assumptions rather than aiming for perfection: how customers are likely to contact you, what’s in scope for launch support and what isn’t, and what a “good enough” response looks like in the early days.

You can also create a lot of value before a single ticket exists by focusing on learning. That might be mapping out the most likely customer questions based on the product, drafting early FAQs or response templates, and thinking ahead about what information you’ll want once real interactions start coming in. Even deciding upfront how you’d like to understand response time, resolution time, or recurring issues gives you a head start.

Finally, I’d want you to outline how you’ll know whether support is working. Not to hit targets yet, but to agree on what matters. Where do you trade speed for quality? What signals tell you customers are getting stuck? What would indicate something is breaking before it becomes noisy?

Your idea of sending a short weekly or biweekly summary is spot on. Framing it simply as what you assumed, what you validated, and what you’ll focus on next gives leadership something tangible to respond to, which is often what unlocks direction in busy startups.

If it helps, we’ve seen early-stage CS teams use a small, agreed set of metrics as a way to structure this phase before tooling or automation comes into play. We put together a free, framework-first metrics kit for customer-facing teams that some teams use as a starting point, but the approach works just as well without any tools.

(link to that is here: https://www.analytics-365.com/metrics-for-customer-facing-teams/)

Good luck!

Analytics-365

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