A patient's 5–10 year message archive contains objective behavioral data that no clinical assessment can match: sleep timing, attachment patterns, emotional trajectories, and life events with the linguistic signatures around them.
Pratibmb Clinical is a proposed extension that surfaces these patterns for clinician review — running entirely on the patient's own device, with granular consent and revocable access. The clinician interprets. The tool informs.
Pratibmb Clinical is not yet a product. Pratibmb is not a medical device. Information on this page is positional, not promotional.
Clinical assessment depends almost entirely on what the patient says in the room. But what the patient says in the room is shaped by:
Clinicians know this. They develop heuristics, ask careful questions, and infer patterns over many sessions. The work is excellent. The data inputs are thin.
Most patients carry a decade of their own behavioral data in their pocket: every WhatsApp, iMessage, Facebook, and Instagram conversation they've ever sent. That archive is not a transcript of their inner life — but it is an objective record of their communicated life, and from it many clinically relevant signals are extractable:
Distribution of message timestamps yields a high-resolution proxy for sleep timing, regularity, and disruption — all visible at scale across years.
Sentiment scoring of outgoing messages produces a dense longitudinal mood curve, revealing episodic patterns and anniversary reactions that prospective tracking misses.
Communication frequency, latency, and language with each contact maps the patient's social network and how it has changed — isolation, attrition, new attachments.
Pronoun use, time-orientation, negation density, and cognitive complexity have validated correlations with depression, anxiety, and recovery (Pennebaker, LIWC).
Major life events leave linguistic signatures around them — bursts of activity, vocabulary shifts, changes in conversation partners. The archive shows them.
Differential communication style with romantic partners vs. parents vs. friends offers a window into attachment behavior across years.
A clinical tool that surfaces behavioral data carries serious ethical weight. Before any code ships in a clinical context, the following are non-negotiable.
Working notes on the empirical literature behind behavioral history analysis — what's well-established, what's contested, and what remains an open question. Written for clinicians and clinical researchers; references included.
Forty years of research using the Linguistic Inquiry and Word Count framework have produced a robust set of linguistic markers correlated with depressive episodes — first-person singular pronouns, absolutist words, past-tense orientation. We summarize what's well-replicated, what's overstated, and what an analysis of personal message archives could responsibly extract.
Message timestamp distributions correlate well with actigraphy in studies of student populations. They miss segmented sleep, ignore non-messaging wakefulness, and are confounded by time-zone shifts and shift work. We outline what circadian inferences from messaging are defensible and what claims overreach the data.
Anxious, avoidant, and secure attachment styles produce measurably different patterns in romantic communication: response latency, message length asymmetry, repair-attempt frequency. The signal is real but coarse, and the literature is mostly cross-sectional. We work through what longitudinal text data could responsibly add.
Recency bias, mood-congruent memory, and social desirability are not new findings. Yet clinical practice remains overwhelmingly reliant on retrospective patient self-report. We make the case for behavioral data as a complement — never a replacement — for the therapeutic interview, with the limits of each clearly drawn.
Bringing a patient's behavioral archive into therapy raises questions current professional ethics codes only partially address. We work through informed consent under uncertainty, third-party privacy, the re-traumatization risk of pattern surfacing, and why local-only processing is an ethical commitment, not a feature.
Pratibmb Clinical is currently a proposal, not a product. Before we build, we want to talk to practicing clinicians — therapists, psychologists, psychiatrists, clinical researchers — to understand whether this would actually be useful in your work, and what we'd need to get right.
A 30-minute conversation is plenty. Names of pilot participants will be acknowledged (with permission) when we publish.
Please mention your role, how long you've been practicing, and your primary modality. We respond within a few days.