SaaS ideas your next customers are already looking for
100 SaaS startup ideas for the people who said they'd pay, from agency owners to dentists. Micro SaaS ideas, AI SaaS ideas and B2B SaaS ideas: find yours, build it, sign them up.
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Pain points in business: what people struggle with
Search the problems to solve, as people described them on Reddit and other platforms, in their own words.
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Call QA Sampling Limits
Contact centers can only manually review a tiny fraction of calls, and AI scoring tools are inaccurate, so coaching and quality insights are incomplete or unfair.
In their words
QA only reviews a small percentage of conversations, coaching depends on what managers happen to find.
our experienced reps are basically doing their own jobs while also acting as an internal help desk
Once volume picked up we were reviewing such a tiny sample that it felt like we were guessing.
Five9's admin side of things is dated as hell hard to understand at times, and poorly documented
currently, our QA team does 1 call, 1 agent, 1 week manual QA. It’s less than 1% of the interactions, and can be biased by sampling.
all our signal from Zoom calls just sits there untouched
You can do a billion wrong things and the AI will never know. It's checking "call flow".
Actually attempting to retain someone will get us termed for performance thanks to ridiculous productivity goals
If someone handles 500 interactions in a month and QA listens to 3, you're evaluating 0.6% of their work.
it'd leave out relevant details or even complete topics of conversation, and it would hallucinate entire discussions that never happened.
1 bad survey=10 good surveys so my 29 good surveys where no longer worth their salt
they know the process but miss one step because they are trying to listen to the customer and search for an answer at the same time
We run it once a week, rather than every day, and it provides an exec-facing overview, as well as areas for support to dig further in to.
Without using agnost, what are some basic SQL queries I can run on my data to find outliers I'd otherwise be missing?
Call center QA teams
Where they talk
- r/callcentres
- r/customerexperience
- r/AI_Agents
- r/SaaS
- r/CustomerSuccess
- r/Progressiveinsurance
- r/telecom
- r/analytics
Tools they use today
- Cresta
- BuildBetter
- Claude
- Excel
- Five9
- Rilla
- Slack
- Smallest AI Pulse
Why those fall short
- misses context, flags random things, cannot tell silence from working
- system supposed to flag repetitive callers after 3x but never does
- scorecards grade scripts, dead air, name count, and customer tone, not resolution
- AI transcript counts phrases without context; missing a word doesn't count
- surveys measure company policy and customer mood, not agent performance
Map of ideas
Drawing the map…