Detect unmet needs hiding in workaround talk
Customers rarely ask for a feature by name; they describe the workaround they built to get around a gap. NEXT reads where customers already talk — calls, tickets, surveys, onboarding notes — and spots that workaround language across many conversations. It groups those mentions into opportunity candidates, each showing how often the pattern comes up and which accounts it touches, so discovery starts from proven demand.
A single "we just export it to a spreadsheet" is an aside. The same sentence from thirty accounts is a roadmap item nobody filed.
What the opportunity candidate looks like
Workaround pattern
Rebuilding product reporting in spreadsheets
What customers are doing instead
Exporting raw data to CSV and maintaining their own weekly reporting outside the product, because the built-in views can't be grouped the way they need.
What customers say
"Every Monday I pull the export and rebuild the same pivot. I've stopped using your dashboard for the board deck."
"We pay an analyst half a day a week just to reformat what's already in your tool."
How often it appears
41 distinct mentions across 34 accounts in the last quarter, rising month over month.
Affected accounts
34 accounts, weighted toward mid-market and enterprise; six are inside their renewal window.
Commercial exposure
About $1.2M ARR touches the accounts describing this workaround.
Segment skew
Strong and consistent in mid-market and up. Thin in SMB — likely real, since smaller accounts export less, but coverage there is limited.
The demand in one line
A cluster of paying accounts has already built the reporting you didn't ship. The need is proven by the workaround, not by a request.
Example output based on grouped workaround mentions from calls, tickets, and onboarding notes.
No one filed this — it sat scattered across forty calls until it was grouped.
How NEXT does this
NEXT reads where customers already talk — sales and success calls, support tickets, onboarding notes, surveys, and reviews. It keeps a running record of what each account is doing to work around the product, not just what they asked for. When the same workaround shows up across enough conversations, NEXT groups the mentions into a single opportunity candidate, attaches how often it appears and which segments it touches, and writes it into the discovery backlog where the product team plans. The product team still decides whether the pattern is worth pursuing, how to scope it, and where it sits against everything else.
Why these needs stay invisible today
Workaround talk hides in plain sight. It shows up mid-sentence on a call, as a throwaway line in a ticket, in an onboarding note nobody revisits. No customer files "I built a spreadsheet" as a feature request, so it never reaches the backlog. The PM who heard it remembers it for a week, then it's gone.
The tools meant to surface this wait to be operated. Dashboards wait for someone to open them and notice the pattern. An AI assistant waits for someone to ask — and answers the question posed, usually returning the loudest explicit request rather than the quiet workaround thirty accounts share. Each handoff loses context: the call gets summarized, the summary gets a label, the label loses the customer's actual words.
A request tells you what one person asked for. A workaround tells you what many people are already doing to cope. The second is the unmet need — and it almost never arrives as a request.
How this compares to the tools you already know
Approach | Where the evidence lives | What the product team does at decision time |
|---|---|---|
Feature requests in a backlog tool | Explicit asks one customer typed | Counts votes; misses everyone who didn't file |
Manual call review | Scattered across recordings and notes | Reopens calls to reconstruct the pattern by hand |
Product analytics | Usage events and drop-off | Sees that people leave a screen, not why or what they do instead |
NEXT | A running record of workaround language, grouped by pattern and segment | Opens an opportunity candidate with frequency, accounts, and quotes already attached |
What changes for the product team
Today, spotting an unmet need depends on someone remembering a phrase from a call and caring enough to write it down. You hear "we just export it" three times across a quarter, in three different meetings, and never connect them. The workaround stays invisible until a churned account names it in the post-mortem.
With NEXT, the connection is made for you. The same phrase across thirty accounts arrives as one candidate, with the quotes and the renewal exposure attached. The item that looked like a niche complaint turns out to touch $1.2M in ARR — and you see that before it's scoped, not after a customer leaves. You no longer reopen three call notes to rebuild the demand; it's grouped when you open the candidate.
The debate moves from "did anyone actually ask for this?" to "is this workaround worth removing, and for whom?"
NEXT already supports product and GTM teams at companies like Deel and Visma in connecting customer evidence from calls, tickets, and reviews to product decisions.
You still own the call. NEXT brings the grouped demand to discovery; sequencing and scope stay with the product team.
Downstream effects
Discovery starts from demand, not advocacy. The opportunities that reach refinement are the ones many accounts already work around, not the ones with the most internal champions.
Renewal risk becomes visible earlier. When a workaround clusters in accounts inside their renewal window, the pattern surfaces before the renewal conversation, not in the loss review.
GTM and CS reference the same signal. The grouped pattern stays current, so success and sales argue from the same demand the product team is scoping, not from separate anecdotes.
Where the human stays in control
NEXT groups workaround mentions and writes the candidate; it does not decide what gets built. You set the threshold — how many accounts, across which segments, before a pattern is written as a candidate. You can require a human to review candidates before they enter the discovery backlog, so thin or ambiguous patterns are held rather than added automatically. That's configuration work — you tune what counts as a real pattern — not approval work on every mention.
What to configure first
The candidate is only as good as the conversations NEXT can read, so coverage comes first: connect the calls, tickets, surveys, and onboarding notes where workarounds actually get described. Set the frequency threshold deliberately — too low and every one-off complaint becomes a candidate; too high and real patterns wait too long to surface. Decide which segments you weight: a workaround in five enterprise accounts may matter more than the same in forty trials. Name where candidates land and who in discovery is notified. And agree on what "thin" means for your team, so contradicted or low-coverage patterns are labeled honestly rather than presented as settled demand.
Where this breaks down
The workaround is never spoken
NEXT reads what customers say. If the workaround lives entirely outside your conversations — a silent spreadsheet no one mentions — there's nothing to detect. Coverage of where customers actually talk is the limit.
Frequency without weight misleads
Counting mentions alone over-weights talkative segments. Forty trial users describing a workaround is not the same demand as eight enterprise accounts describing it. If scoring runs on raw frequency, the candidate ranking will mislead.
A vague pattern gets a vague candidate
When mentions are scattered and worded inconsistently, the grouping is loose and the candidate reads as thin. That's correct — the demand is genuinely unclear — but it means not every gap produces a clean candidate.
Treated as a backlog dump
If every candidate is added without a threshold or review, discovery drowns. The point is fewer, better-supported opportunities, and that depends on calibrating what counts as a pattern.
FAQ
How is this different from a feature request board?
A request board captures what customers explicitly typed — usually a fraction of users, often the most vocal. Workaround detection captures what customers are doing to cope, which they rarely file as a request. NEXT groups those coping behaviors across conversations and shows how many accounts and how much ARR they touch, so demand isn't limited to whoever bothered to ask.
Does NEXT decide what goes on the roadmap?
No. NEXT groups workaround language into opportunity candidates and keeps them current with frequency and segment data. The product team still decides what's worth pursuing, how to scope it, and where it ranks against everything else. NEXT brings the demand to the decision; it doesn't make the call.
How does it tell a workaround from ordinary complaining?
A complaint says something is bad. A workaround describes a substitute behavior — an export, a second tool, a manual step repeated to fill a gap. NEXT keys on that substitution language and clusters it. Thin or ambiguous mentions are labeled as weak rather than presented as proven demand.
Won't this just create more backlog noise?
Only if you set no threshold. You decide how many accounts, across which segments, before a pattern becomes a candidate, and you can hold candidates for review before they're added. Calibrated well, it produces fewer, better-supported opportunities than a raw request inbox.
What sources does it read?
Wherever customers describe their experience: sales and success calls, support tickets, onboarding notes, surveys, and public reviews. The more of these are connected, the more reliable the frequency and segment numbers behind each candidate become. Gaps in coverage show up as thin or SMB-light signal, labeled honestly.
Can it tie a candidate to revenue?
Yes, when account data is connected. Each candidate can show the accounts describing the workaround and the ARR they represent, including any inside their renewal window. That turns a qualitative pattern into a sized opportunity the product team can weigh against others.