You did the research.
Discern does the synthesis.
Discern is an analytics platform built for CX practitioners. What your customers actually think of the experience and what to do about it. Backed by evidence, not guesswork.
Where the weeks go
Analysis is the part nobody budgets for.
Fielding the survey takes a week. The interviews take two. Then comes the part nobody plans for: reading every transcript, coding what people actually said, reconciling it against the numbers, and turning all of it into something an executive will sit through.
It's also the part that's hardest to do well by hand. By the twelfth transcript you're working from impressions rather than evidence. The most vivid quote you read early anchors everything after it. And contradictions get quietly smoothed over, because reconciling one means going back through all of it again.
Discern checks every theme against every source, every time. Where the interviews and the survey agree, you get a finding you can defend in a room. Where they diverge, it says so rather than picking the more convenient half.
Divergence is usually the most interesting thing in the data. It's also the first thing a tired reader smooths away.
Where every assessment opens — narrative, key moments, and satisfaction, before you go deeper into themes and data.
How it works
Two sources in. One assessment out.
- 01
Upload your research
Upload your interview transcripts and bring survey data you already have. Don't have a survey? Build and field one inside Discern — NPS, CES and CSAT question types, skip logic, and inline follow-ups, wired into the analysis from the start.
- 02
Let Discern go to work
Themes surface from your customers' own language, not from keyword counts. Every finding is checked against both sources and labelled by what actually backs it.
- 03
Review the findings
Themes with evidence, personas, journey insights, and prioritized recommendations — ready to review and present.
- 04
Refine and go deeper
Ask why a theme surfaced and Discern shows you the evidence underneath it. Disagree with a recommendation and rewrite it. Nothing is final until you say so.
Who it's for
Built for the person doing the work.
Discern is for CX practitioners and consultants who run their own research and need to turn interviews and survey data into a clear, evidence-backed assessment, without spending weeks on manual synthesis.
Some arrive here having just been asked to stand up a CX function or produce a baseline. Leadership wants direction, the research is done (or nearly done), and the bottleneck is turning raw transcripts and survey results into something rigorous enough to present and act on.
Discern takes both halves: qualitative depth from interviews and quantitative reach from a survey. If you don't have a survey yet, Discern includes the builder to field one.
Interviews alone give you anecdotes that are hard to defend. A survey alone gives you a number that's hard to act on. Together, checked against each other, they give you findings you can stand behind.
Pricing
Simple, transparent pricing for the assessment platform.
No seats. No long contracts. You bring the research, Discern delivers the synthesis.
Standard
$4,500
- 1 assessment
- Up to 30 file uploads
- Themes, Journey Insights, Recommendations & More
- Persona cards & full assessment report
- Abridged presentation deck
- Native survey-builder
- Editable recommendations
- AI-assistant
Best for teams looking to establish their overall customer experience baseline.
Talk to us about StandardPro
$18,000
- 5 assessments
- Up to 30 file uploads each
- Same functionality & deliverables included in Standard
- Priority support
- Discounted bundle pricing
Best for consultants or CX teams with added complexity or multiple customer/product segments.
Talk to us about ProFAQ
Questions, answered.
What teams ask before they get started.
Three things: consistency, a proven framework, and a finished deliverable. ChatGPT, Claude, and Gemini are powerful, but they're a blank canvas. Different people (or the same person on different days) get different results, and prompts lead to more prompts, which leads to more variability. Discern runs the same structured process every time, cross-checking your interviews against your survey data and flagging where they agree and diverge, something that's genuinely hard to do reliably by hand. And it hands you the finished, executive-ready deliverable: quotes, persona cards, and prioritized recommendations, instead of leaving you to assemble that yourself from a chat window. Think of it as the difference between a spreadsheet and Excel: you're paying for the methodology and the finished output, not access to a language model.
Discern is built to work best with both. Interviews give you the "why," survey data gives you the "how many." Survey data alone can still surface signal, but the cross-source validation that makes findings defensible depends on having both inputs. If you don't have interview data yet, Promontory CX's consulting team can run that piece for you, conducting the interviews (or the whole assessment) and handing you a project that's ready for Discern to synthesize.
Those tools are built to collect and report on data. Discern's job starts where theirs stops, turning interviews and survey responses into validated themes, personas, and prioritized recommendations. It's not a replacement for your listening infrastructure, it's the synthesis layer most teams currently do by hand (or skip).
Not at all. If you're working with a small team (or solo), periodically asked to produce a CX baseline, and don't have weeks to spend manually coding transcripts, Discern removes the biggest bottleneck: turning raw research into something you can act on and present.
No. Discern needs real interview and survey input to work with. It doesn't generate insight out of nothing. What it replaces is the manual synthesis work after the data is collected, not the research itself.
Discern distinguishes between findings confirmed across both interviews and survey data and a signal seen in only one source. You can see at a glance which conclusions have independent support and which don't. And if you're unsure why a particular theme, insight, or recommendation was reached, you can ask the tool directly. It will point to the specific evidence behind it rather than just restating the finding.