What’s new
The biggest things we’ve shipped lately — for the researchers who run studies and the patients who live them.
Interim looks in a platform study are now frozen and hashed. The statistical analysis center builds an open and a closed report from each cut and releases them to the DSMB, which records one recommendation against them. The people who prepare the analysis never vote on it.
Re-estimate an arm’s sample size or enrich enrollment, only within bounds stated in a locked rule. Randomization enforces the result. New arms go through an IRB amendment before they open, and first-in-human arms start with gated sentinel cohorts.
Studies stay decentralized first. Add sites for scans, infusions, and other visits home can’t do, open each one through a readiness checklist, give every participant a site of record, and watch risk and enrollment by site.
Each company sponsoring an arm sees only its own arms, from its own organization, and never an interim result. Treatment kits ship to the right arm without breaking the blind, and serious events are reconciled between the safety database and the dataset before lock.
See decision turnaround from every interim cut, dataset build time from cut to export, enrollment forecasts by site and arm checked against what happened, and cost per arm from an append-only ledger.
If your study needs a clinic visit, the app says why, where, and how to get there. Your study contact screen names the study doctor who oversees your care while you take part from home.
See the direction of a trial across check-ins, assessments, wearables, and specimens, with confidence intervals and arm comparisons where the design allows. Blinded teams stay blinded; completed studies can open the readout to the full team, and eligible studies can publish a privacy-protected public signal.
Browser-compatible studies can now run without an install, including consent, check-ins, assessments, reports, and completion. TrialPilot clearly identifies tasks that require the mobile app, while wearable data already synced by a phone remains available as familiar trends on the web.
Browse studies you can join, scan a channel-specific recruitment QR code, choose whether to share wearable data, and start when your plan is ready. The study calendar shows what happened each day and marks the finish without turning missed work into shame.
Move through clear planning, setup, and launch stages with participant burden visible while you design. Launch review groups every missing requirement and takes you directly to the section that needs attention.
Run kit-based and biospecimen studies without forcing them into a daily adherence model. A shared journey now covers activation, collection, chain of custody, lab accessioning, result ingest, consent over stored samples, and appropriate result return.
Track symptoms that matter to you, including your own labels, and record illnesses and vaccinations as they happen. Gentle, research-backed attention signals can surface meaningful within-person changes, while study teams only receive the de-identified context their study is allowed to use.
Participants can screen from home. Criteria that need a coordinator stay pending until staff verify them, while answers and identity remain on the participant side of the privacy boundary.
Track a study kit, report a damaged delivery, and confirm receipt with the kit code from the app. Research teams get the accountability trail they need through return or final disposition.
Write the monitoring plan, track deviations, and review six live risk indicators without crossing the blinding or identity boundaries. Thin data stays “not enough data,” never a false alarm.
Review a short, plain-language protocol digest and rate what feels workable. Feedback is pseudonymous, optional, and hidden from research teams until enough people respond.
Launch readiness, protocol versions, trial-registration clocks, milestones, reconciliation, audit inventory, and closeout now form one governed path from draft study to hash-stamped archive.
The unified audit export carries a machine-checked inventory across every study-scoped audit domain, with de-identified participant events and blinding-safe unblinding records.
No enrollment or randomization without a current IRB approval bound to the exact protocol and consent versions it covers. Generate submission packets from structured data, and track amendments and reportable events in one regulatory hub.
Permuted-block, minimization, uploaded-list, or simple randomization for everyday RCTs and crossovers, with open, single, and double-blind modes, a code-versus-arm firewall, and an audited emergency unblind.
Wearable data can start collecting before you enroll, and recent coverage waives the baseline wait when a study begins. A configurable baseline window and wearable sync-health surface gaps early.
Accessible, resumable informed consent with gentle comprehension checks, an electronic signature workflow, and a countersigned PDF receipt. Consent that respects a hard day and can be re-read anytime.
A perpetual, multi-arm protocol with deterministic randomization, response-adaptive allocation inside preset guardrails, factorial domains, and a blinding firewall that keeps interim looks away from the people who shouldn’t see them.
A versioned, audited dataset with an edit-check engine and query workflow, coding review (licensed dictionaries are not connected in the preview), soft and hard database lock with audited unlock, and one-click CDISC SDTM + define.xml export.
A within-person heart-rate ceiling, time-over-threshold, an orthostatic-aware POTS split, and a morning readiness read from resting HR and HRV — framed as a pattern, never a prediction. Quiet by default.
Guided single-case (n-of-1) studies with on-device single-case experimental design and segmented-regression analytics, a primary endpoint you choose, and an honesty layer that won’t let a hopeful trend pose as proof.
A calm, within-person Green / Yellow / Red read of your own measures — never red on missing data — plus a unified history of every study and self-trial you’ve run.
Post-exertional malaise detected from ordinary participation — check-ins plus wearable data — against a versioned, patient-anchored definition, with a tap-only enrichment flow.
A coordinator can queue a one-way, templated check-in that arrives as a considerate local notification — rate-limited, never stacking, and silent when someone is unwell.
A reporter-not-actor model so the person who notices a safety concern isn’t forced to act, with review routing and a privacy boundary between identity and clinical data.
Coming next
A look at the next participant experience. These features are in development and are not yet released.
Configure questionnaires, check-ins, wearable sharing, visits, intervention logs, supplies, and payments. Optional work stays separate from required completion.
Sites can also link an already-enrolled participant to an approved app activity plan while preserving their original study timeline.
See what needs attention, what is coming up, what is waiting, and what is complete. Quiet weeks stay quiet, and saved-on-device work is clearly labeled until received.
The plan brings assigned activities, visits, kit updates, payment records, routine help requests, and released summaries together.
Offer approved home, site, or local-provider visit options. Participants can request an available alternative for the team to arrange.
Completed questionnaires stay complete when an arrangement changes. Provider availability and clinical suitability are confirmed by the site.
Give routine requests an owner, acknowledgment, status, and outcome. Participants can follow progress and reopen a request when they still need help.
Device, visit, kit, callback, and study questions stay distinct from urgent safety reporting. Staff email requires a configured delivery service.
