Sources: strella.io (product positioning, customer roster) · strella.io trust pages (compliance posture) · userintuition.ai/pricing · G2 + Capterra · buyer-reported references (Q1-Q2 2026). Per-claim attribution in the FAQ below.
Strella Pricing at a Glance
Strella does not publish pricing on its website. Per buyer-reported references (G2 reviews, RFP analyses, and 2025-2026 industry coverage), the typical entry point is roughly $10K-$25K+ per study, with scope and complexity driving where each engagement lands inside that band. The platform is sold as an enterprise per-study engagement — every project starts with a scoping conversation with a Strella sales lead, an audience definition exercise, screener design, and a contracting cycle through procurement. Buying is demo-first; there’s no published self-serve free trial.
| Pricing factor | Strella |
|---|---|
| Per-study cost | $10K-$25K+ per engagement (buyer-reported) |
| Pricing model | Per-engagement; no per-seat or annual base |
| Operating motion | Per-study enterprise engagement (sales-led) |
| Buying motion | Demo + scoping conversation; pricing custom-quoted |
| Annual contract | Typically per-study scope; multi-study commitments negotiable |
| Included as standard | Chat-first AI moderation + chat-to-video escalation, 3M+ panel, theme synthesis in minutes, per-engagement scoping, standard deliverables |
| Not included as standard | Self-serve access between studies, cross-study queryable knowledge layer, adaptive 5-7 level motivational laddering |
| Typical study scope | 50-100 participants, $3,000-$6,000 in panel cost embedded in the per-study fee |
| Time to first results | Synthesis in minutes once fielding closes; full clock includes scoping + recruitment (2-4 weeks for new engagements) |
| Participant NPS | 90% reported NPS (Strella-published) |
The pricing structure reflects what Strella optimizes for: chat-first AI interviews with rapid theme synthesis as the headline capability, sold inside a scoped enterprise engagement. The next section breaks down the components of that per-study fee.
The Components of Strella Pricing
Strella’s per-study pricing has two distinct components that combine into the total engagement cost. Understanding each component is the foundation for evaluating whether the model fits your research practice.
1. Per-study fee ($10K-$25K+). The per-study fee funds chat-first AI moderation with chat-to-video escalation when sessions warrant it, panel access (Strella advertises a 3M+ participant panel across roughly 40 languages with 90% NPS), rapid theme synthesis delivered within minutes of fielding closing, per-engagement scoping with a Strella research lead, and standard deliverables (theme reports, transcript libraries, highlight reels). The fee is variable based on study scope — audience complexity, participant count, and methodology requirements all push the number toward the upper end of the band.
2. Custom services scope (variable). Larger engagements often include custom services on top: bespoke methodology design, custom analysis frameworks, executive presentations, multi-study commitments, enterprise security or compliance add-ons. These are scoped per engagement and not transparently priced — they’re negotiated as part of the SOW.
The total cost for a given study is roughly per-study fee + custom services scope. For a team running one flagship annual study at the midpoint ($15K) with no custom services: $15,000 for the year. For a team running 5 such studies in the same year: 5 × $15,000 = $75,000.
What Does $10K-$25K+ Buy You at Strella?
The right way to read Strella’s pricing is to separate what’s software from what’s services-flavored. Strella’s per-study fee funds speed-first theme synthesis as the headline capability — that’s the optimization the platform was built around, and the price reflects it.
Chat-first AI moderation handles the interview itself: participants start in a chat conversation with an AI moderator, and the conversation can escalate to chat-to-video when the topic warrants. After fielding closes, the synthesis layer clusters frequency patterns into themes within minutes, producing auto-generated highlight reels packaged for stakeholder communication. For sprint-cycle teams that need themed direction by Wednesday for a Friday review, the synthesis speed is the platform’s core differentiator and the price math justifies itself.
The per-study fee also embeds panel access (3M+ participants, 40 languages, 90% NPS) and per-engagement scoping with a Strella research lead. The scoping cycle handles audience definition, screener design, and methodology framing — useful for teams without dedicated research staff who want the engagement framed for them. Strella has not publicly confirmed these figures; they reflect typical commitments reported by enterprise buyers in 2025-2026 references.
The framing matters: the price isn’t unreasonable for what’s delivered. A per-study enterprise engagement with chat-first AI moderation, embedded panel, rapid synthesis, and per-engagement scoping is a defined value bundle. The question for buyers is not whether the price is fair but whether the model fits how their team wants to run research — and specifically whether speed-first synthesis at low frequency is the operating design, versus motivational depth at distributed-frequency cadence.
How Does Strella Cost Scale by Research Frequency?
Strella’s pricing model compounds linearly with study volume. Each engagement is priced and contracted independently; there is no annual base to amortize across multiple studies. The math evolves as research volume grows.
| Studies per year | Per-study fee (midpoint) | Total cost |
|---|---|---|
| 1 (annual flagship) | $15,000 | $15,000 |
| 2 (biannual brand tracker) | $15,000 | $30,000 |
| 5 (quarterly + ad-hoc) | $15,000 | $75,000 |
| 10 (continuous monthly) | $15,000 | $150,000 |
| 20 (always-on research practice) | $15,000 | $300,000 |
| 50 (heavy multi-team usage) | $15,000 | $750,000+ |
The pricing model is most efficient when a team runs 1-2 large flagship studies per year. The per-study premium funds speed-first synthesis and per-engagement scoping that match a low-frequency, high-stakes operating design — each study justifies its own investment.
The model becomes structurally expensive as study frequency grows. At 10 studies per year, the all-in cost crosses $150,000. At 20 studies, it exceeds $300,000. At 50 studies — the rough volume of a distributed research practice running studies across product, marketing, CX, and founder workflows — the cost approaches $750,000. The economics of Strella are not designed for high-frequency or distributed research; they’re designed for low-frequency engagements where each study justifies its own investment and the team values themes-in-minutes over distributed self-serve access.
When Is Strella’s Pricing Worth It?
Strella’s price math justifies itself in three concrete cases where speed-first theme synthesis is the operating priority.
Operating-model fit:
- Low-frequency flagship research. Annual brand tracker, major launch readiness study, one-off strategic research where speed-first synthesis is the headline value. Per-study cost amortizes against a high-stakes decision rather than against a continuous research cadence.
- Teams that prioritize themes-in-minutes over per-conversation depth. When the research question is well-scoped and the team needs themed direction fast, speed-first synthesis is the right optimization. Strella’s per-study premium funds exactly that delivery model.
- Per-engagement scoping fits the team’s operating cadence. Some research teams prefer a scoped, contracted engagement for each study — clear deliverables, a defined timeline, and a synthesis output handed off at the end. The per-study model fits that working pattern.
For these situations, the recruitment ops + synthesis layer is exactly the capability you’re buying, the consultative scoping is part of the value, and the per-study fee is a reasonable price for the model.
Unless your operating design intentionally centralizes research around scoped per-study engagements — and unless your research cadence is 1-2 flagship studies per year rather than ongoing — you may be paying for a model that fights the behavior you want. The test is to write down the audiences for your next three studies, the teams that will run them, and how often new questions will surface. If those teams want self-serve speed and ongoing access, per-study pricing is taxing the work you want to do.
How Does User Intuition’s Pricing Compare?
Strella’s price funds a per-study enterprise engagement; User Intuition’s price funds self-serve software. Same research category, structurally different price math. The Pro plan headline is $20 per audio interview ($40 video, $10 chat) with no annual base, no per-study scope fee, no per-seat charge. A 10-interview study runs $200 all-in — recruitment from the 4M+ vetted panel, AI moderation, transcription, theme synthesis, and Customer Intelligence Hub indexing all included. Panel recruitment is $20 per completed participant on Pro (incentives + screening + fraud prevention bundled, charged only on quality completions).
The Starter plan opens at $0/month with three free interviews on signup, no credit card. After the free three, Starter charges $25 per credit ($12.50 chat, $25 audio, $50 video). The crossover from Starter to Pro economics lands around 30+ audio interviews per month, where the included 50 Pro credits start carrying their own weight.
The structural cost differences run deeper than the per-interview rate:
- No annual contract — cancel any time, no procurement loop, no renewal negotiation
- No per-seat tax — distributed teams add users without paying for headcount
- No per-study scope fee — every new study reuses the same software footprint, no fresh contracting cycle
- No re-scoping cost — the Customer Intelligence Hub queries existing data against new questions instead of requiring a fresh field
User Intuition holds 5/5 on both G2 and Capterra, runs 98% participant satisfaction across AI-moderated interviews, supports 50+ languages with native AI moderation, and applies the adaptive 5-7 level laddering methodology that reaches motivational drivers underneath the frequency-pattern themes Strella’s synthesis layer is built to surface.
How Do Strella and User Intuition Compare on Cost by Research Frequency?
With both pricing models on the table, here’s how the math compares across research volume. Strella’s per-study enterprise model alongside User Intuition’s per-study self-serve pricing:
| Studies per year | Strella (est.) | User Intuition | Gap |
|---|---|---|---|
| 1 (annual flagship) | $15,000 | $200-400 | 40-75x |
| 5 (quarterly + ad-hoc) | $75,000 | $1,000-2,000 | 40-75x |
| 10 (continuous monthly) | $150,000 | $2,000-4,000 | 40-75x |
| 20 (always-on practice) | $300,000 | $4,000-8,000 | 40-75x |
| 50 (heavy multi-team usage) | $750,000+ | $10,000-20,000 | 40-75x |
User Intuition figures use Pro ($999/month with 50 included credits) for 10+ studies/year and Starter ($0/month, $25/credit) at lower volume. Strella figures triangulate from buyer-reported references at a $15K per-study midpoint scaling linearly with each engagement. Both models scale linearly — Strella per engagement, User Intuition per interview — but the bases sit 40-75x apart, so the dollar gap stays consistently large in percentage terms regardless of volume.
The gap also reflects what each price actually funds. Strella’s per-study fee underwrites chat-first AI synthesis speed, panel access, and the per-engagement scoping cycle. User Intuition’s per-interview rate underwrites adaptive moderation depth, panel access, and a queryable corpus that compounds across studies. The cleanest test of whether the price makes sense is to ask which capability your team’s actual research question requires: if motivational-depth laddering is what would change the decision, the per-study premium funds a synthesis layer you don’t use; if speed-first theme synthesis is what your sprint cycle demands, the per-engagement scoping fee is paying for the right thing.
Calculate your team’s cost with the live slider — adjusts for interview count, modality, and panel choice in real time. Open the pricing calculator →
How to Choose Between Strella and User Intuition
The decision between Strella and User Intuition is not just a price decision — it’s a decision between two operating models that produce different research outcomes. Three matrices help orient the choice.
Volume × research question type:
| Your situation | Best fit |
|---|---|
| Low volume + speed-first synthesis question (themes by Wednesday for Friday review) | Strella |
| Low volume + motivational-depth question | Either works; cost matters less, choose by methodology preference |
| High volume + speed-first synthesis question | Hybrid: Strella for flagship sprint research + User Intuition for everything else |
| High volume + motivational-depth question | User Intuition |
| Distributed teams running independent studies | User Intuition |
| Centralized insights team with one or two flagship programs | Either; Strella if speed-first synthesis matters |
Procurement × speed:
| Your situation | Best fit |
|---|---|
| Procurement requires enterprise contract + scoping cycle is acceptable | Strella |
| You need to start research today without procurement | User Intuition |
| Annual budget cycle drives planning; insights are scoped well in advance | Strella |
| Research questions arise sprint-by-sprint; budget flexes with usage | User Intuition |
Total cost of ownership beyond the invoice. The dollar tables above don’t capture the full cost picture. Per-engagement scoping cycles consume research-ops time the per-study fee assumes the buyer absorbs. Knowledge persistence that sits in static deliverables creates re-asking cost when new questions surface — teams commission fresh studies because the existing corpus isn’t easy to query. Stakeholders who couldn’t justify a per-study scope build shadow processes (informal interviews, ad-hoc surveys) that produce lower-quality evidence than the platform would. A team running ten studies per year on Strella spends roughly $150,000 in dollar cost and the research-ops time of ten scoping cycles, plus the unmeasured cost of questions that don’t get asked because the per-study friction is too high. The third number is usually the largest. Don’t start a per-study procurement for research you’d run continuously if friction were lower.
The question is rarely “which is cheaper?” — it’s “which operating model matches how my team actually runs research?” Pricing follows from that answer. If your team runs 1-2 flagship studies per year with speed-first synthesis as the priority, the absolute dollar cost of Strella is reasonable for the model. If your team runs 10+ studies per year on motivational-depth questions, the absolute dollar cost is a structural mismatch.
Already Evaluating Strella? Run the Same Question First
Mid-procurement on Strella is the moment when running the same research question through User Intuition first carries the highest leverage. The point of the parallel run is not to declare one platform a winner — it’s to see which output your team would actually trust on the decision sitting on the table. Three steps:
- Take the research brief you’d hand to a Strella research lead during scoping and drop it into User Intuition’s guided study setup. Same prompt, same audience screener, same target sample size.
- Launch three free interviews against the 4M+ vetted panel — no credit card, no sales call, no scoping cycle. The first interview typically closes inside the first hour.
- Evaluate the output on four dimensions before your next Strella sales conversation:
- Moderator depth — does the AI ladder from concrete behavior through functional benefit to identity-level motivation, or does it stop at the discussion-guide questions?
- Recruit quality — do the participants match the screener, and are their responses substantive enough that you’d cite them in a stakeholder readout?
- Theme shape — do the synthesized themes change a real decision your team is making this quarter, or are they restating what the room already believed?
- Stakeholder defensibility — would you bring this output into a leadership meeting unfiltered, or would it need a research lead’s gloss to land?
If the User Intuition output passes the test, you’ve potentially avoided a $10K-$25K+ per-study commitment this quarter — and at 10+ studies per year, the avoided spend compounds into six figures. If the output doesn’t pass, you’ve spent five minutes and zero dollars to learn that this specific research question genuinely needs the speed-first synthesis layer Strella was built around.
The parallel-run test is the cheapest way to distinguish “we need Strella’s synthesis engagement model” from “we have a research question self-serve software with adaptive depth answers in 24 hours.” Most teams running consumer or B2B research land on the second answer once they see the output.
Three free interviews. No credit card. Five minutes to launch. Try the same research question → · Preview a study output first
Bottom Line for Most Teams
Strella and User Intuition encode two different research operating models, and the pricing math is the downstream consequence of which model your team actually runs. Both are valid; the wrong fit produces the wrong invoice.
Strella fits when:
- Per-study scoped engagements with defined deliverables match how your insights function is structured today
- Speed-first theme synthesis — themes within minutes of fielding closing — is the capability the operating cadence demands
- Stakeholder communication is consumed as polished per-project packages (theme reports, auto-generated highlight reels) rather than queried against a corpus
- Annual procurement and centralized insights buying is already a settled operating constraint
- Annual research volume sits at 1-2 flagship sprint-cycle studies where the per-study premium amortizes against a high-stakes decision
User Intuition fits when:
- Adaptive 5-7 level laddering that reaches motivational drivers underneath frequency-pattern themes is the methodology your research questions actually need
- The AI moderator’s behavior under uncertainty — probing shallow answers, recovering stalls, redirecting drift — matters as much as the synthesis layer downstream
- Cross-study historical querying against a queryable corpus is a working pattern your team would use weekly if it existed
- A 4M+ vetted panel ready at signup, 24-48 hour end-to-end turnaround, and 5/5 ratings on G2 + Capterra clear the diligence bar
- Three free interviews against the live research question would teach more than a 45-minute sales call
- Annual volume sits at 5+ studies, where per-study economics matter more than per-engagement scoping cycles
The two-platform answer is real but rare: User Intuition handling continuous distributed motivational-depth research, Strella handling the one or two annual flagship sprint-cycle studies where speed-first theme synthesis is the headline value. Most teams reading this guide don’t need both — they need the self-serve path with adaptive depth, queryable corpus, and a panel that’s already ready.
For most teams, User Intuition is the answer. Pricing is published on the marketing site. The panel is ready at signup. The trial is free. The rating is 5/5 on both G2 and Capterra. Start with three interviews against the live research question and decide from output, not a sales cycle.
Three free interviews. No card. 5/5 on G2 and Capterra. Start with User Intuition → · See pricing → · Strella vs User Intuition full comparison → · Read the Strella review → · 7 Strella alternatives compared → · Migration guide →