Compusense Cloud is a secure web-based Software as a Service (SaaS) solution for consumer and sensory data collection and analysis.

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1 1 Cmpusense Clud Capabilities Testing Cmpusense Clud is a secure web-based Sftware as a Service (SaaS) slutin fr cnsumer and sensry data cllectin and analysis. With ne prduct yu can recruit and manage yur panel, create user-friendly, custmized questinnaires, cllect data and run analyses n yur sensry and cnsumer tests glbally. Frm a cmputer, smartphne, r tablet device, panelists can cmplete a questinnaire frm anywhere with an Internet cnnectin. As a mbile-ptimized platfrm, the user experience is easy and enjyable n matter the device. Analysts can analyze the cllected data, gaining the necessary insight in making smarter business decisins. Sensry Lab Build yur sensry lab with Cmpusense Clud. Whether it s an existing r new panel, ur user-friendly interface will put yur panelists at ease s they can cncentrate n testing. Wrking with descriptive panels? Decrease training time with ur exclusive Feedback Calibratin Methd, Cmpusense FCM. Central Lcatin Testing (CLT) Set up tests and then cllect the data at a different lcatin. If yu are testing in a different time zne, use ur time zne feature t ensure the tests are available at the crrect time. Need t wrk with a supplier t cnduct testing n yur behalf? Eliminate data incnsistencies and labur csts by having yur supplier cllect data in Cmpusense Clud using a test yu create fr them t run fr yu. Hme-Use Testing (HUT) & Pint f Cnsumptin / Use Panelists can cmplete prduct tests in the privacy f their wn hme, giving yu greater reach in yur results. Send reminder s directly frm the sftware, and mnitr when each panelist assessed a prduct using timestamps. Yu have cmplete cntrl ver when samples are available t be cmpleted t ensure crrect prduct usage. Cpyright 2016 Cmpusense Inc. cmpusense.cm

2 2 Cmpusense Clud Capabilities Cnsumer Surveys Have yur cnsumers cmplete questinnaires frm anywhere in the wrld, even frm their mbile device. Engage cnsumers by including images and vides in yur questinnaires, and use ur smiley face scales fr children. This is a great tl, especially fr in-stre r cncept testing. Testing Capabilities Quantitative Descriptive Tests Cnsumer Tests Feedback fr panel training can be prvided t panelists using the Feedback Calibratin Methd, exclusive t Cmpusense sftware. Supprts a wide range f descriptive methds. Includes Categry questins (Intensity, Liking, Just-Abut-Right, Likert, Intent, Satisfactin, etc.), Check-All-That-Apply (CATA), Chse N, Chse 1 (Yes/N, Agree/Disagree), pen-ended cmment questins, many thers. Chice and attribute randmizatin is available, as is the ability t assign a design t chices. Difference Tests Includes Paired (2-AFC), Du-tri, Triangle, Tetrad, Same/Different, A-nt A, R-index, Degree f Difference (DOD), Difference frm Cntrl (DFC) questin types. Ranking Rank All, r Rank N questin types Can rank chices, cncepts, images r prducts Tempral Methds Single and Dual attribute Time Intensity TDS (Tempral Dminance f Sensatins) TOS (Tempral Order f Sensatins) Prgressive Prfiling with Line scales Tempral Check-All-That-Apply (TCATA) Multi-Attribute Time Intensity (MATI) Other Methds Prjective Mapping / Napping with the ptin t custmize the map backgrund image. Binning questins Cpyright 2016 Cmpusense Inc. cmpusense.cm

3 3 Cmpusense Clud Capabilities Glbal Capabilities Glbal cllabratin Wrld-Class Security Ideal fr glbal clients with multiple lcatins and analysts. Share methds and data between Analysts by using a cmmn platfrm. Build a test in Califrnia, revise it in Lndn and present it t panelists in India! Create templates t harmnize prcesses and ensure cnsistency. Wrk can be shared r kept separate acrss sites. Test in multiple languages. Sftware as a Service applicatin hsted by a CSAE 3416 Type II hsting facility. SOC 2 & SOC 3 reprting audit cnducted by Auditwerx. Questin Types Bin all Panelists are presented with a grup f samples r cncepts and are asked t rganize them all int bins. Bin n Panelists are presented with a grup f samples r cncepts and are asked t rganize sme f them int bins. The n, r number f samples that must be binned, is set by the analyst. Categry Intensity Panelists are presented with a scale f bxes, and are asked t select a categry n the scale that represents their perceived intensity f the attribute fr each sample. Categry Liking Panelists are presented with a hednic scale f bxes and are asked t select a categry n the scale that represents their liking f an attribute fr each sample. Categry JAR (Just Abut Right) Uses a biplar scale with intensity anchrs n the endpints (e.g., "much t weak", "much t strng") and a mid-pint anchr f "just abut right". This scale can be used t guide prduct develpment fr attributes such as clur appearance, arma, texture, taste, etc. Categry Wheel Panelists are presented with an attribute wheel. They are asked t select an attribute and select a categry n the scale that represents their perceived intensity f the attribute. Check-All-That-Apply (CATA) Panelists are presented with a grup f chices r cncepts and are asked t select all chices that apply. Cpyright 2016 Cmpusense Inc. cmpusense.cm

4 4 Cmpusense Clud Capabilities Questin Types (Cntinued) Chse n Panelists are presented with a grup f chices r cncepts and are asked t chse a set number f chices. The n is set by the analyst. Chse nly 1 Panelists are presented with a grup f chices r cncepts and are asked t select nly ne chice. Cmment Cmment questins are used t gather panelist cmments, bservatins r demgraphic infrmatin, such as their name. Cnstant Sum Panelists are presented with a grup f chices and asked t assign number values that when added tgether, will nt exceed a pre-set limit. Du-Tri Panelists are presented three samples. One sample is a reference, ne sample is different frm the reference, and the ther is same as the reference. The panelist is asked t identify the sample that is the same as (r different frm) the reference. Line Scale Panelists are presented with a hrizntal r vertical line and are asked t select a pint n the line that represents their perceived intensity f the sample attribute. Line Scale Wheel Panelists are presented with an attribute wheel. They are asked t select an attribute and select a pint n the hrizntal line that represents their perceived intensity f the attribute. LMS (Labeled Magnitude Scale) Panelists click a pint n a vertical line scale that represents their perceived intensity f a sample attribute within the cntext f the strngest sensatin they can imagine. The scale is anchred with the label "N sensatin" t "Strngest imaginable" at the tp. Numeric The panelist is asked t enter their respnses as a number. The numbers can be frmatted fr Date, Date and Time, Currency, Percentage, Number r General. Paired Directinal (2-AFC) Tw samples are presented t the panelist and are asked t indicate which sample has the greater intensity f a particular characteristic. e.g. "Which sample is sweeter?" Paired Preference (2-AFC) Panelists are given tw samples and are asked t determine which sample they prefer. Cpyright 2016 Cmpusense Inc. cmpusense.cm

5 5 Cmpusense Clud Capabilities Questin Types (Cntinued) Pht Uplad Panelists are asked t uplad an image frm their lcal cmputer r cmpatible device. Befre uplading, panelists can review, replace if necessary, rtate, r even draw n the image (if the ptin is enabled by the analyst). Gather deeper cnsumer insights frm panelists perspectives. Prjective Mapping Panelists are asked t rganize samples, presented as labels and/r images, in a tw-dimensinal space accrding t perceived similarities and differences. Panelists may als be asked t tag samples, fr example, t assciate a series f samples with a cmmn attribute r descriptr. Rank all Panelists are presented with a grup f samples r cncepts and are asked t rank all f the chices in rder f perceived intensity r preference. Rank n Panelists are presented with a grup f samples r cncepts and are asked t rank a select number f the chices in rder f perceived intensity r preference. Fr example, their tp three. The n is set by the analyst. Same/Different Panelists are presented with tw samples and are asked t determine if they are the same r different. Tempral Dminance f Sensatins (TDS) Panelists start a timer and then click the sensatin chices that are perceived as mst dminant during the sampling time. The analyst can custmize the sampling time. Tempral Order f Sensatins (TOS) Panelists start a timer and are asked t click the sensatins they perceive first, secnd and third during the sampling. The default fr the maximum number f chices allwed is 3, but can be changed in the questin ptins. Time Intensity (TI) A technique used t measure the rate, duratin and intensity f sensry attributes as a functin f time. This technique is especially useful fr measuring sensry qualities that display dynamic changes in intensity ver shrt perids f time. Tempral Check-All-That-Apply (TCATA) Tempral CATA, just like traditinal CATA questins, allws panelists t chse all chices that they perceive. Althugh, with TCATA, panelists are instructed t chse all that apply temprally in real-time, as they are perceived. Cpyright 2016 Cmpusense Inc. cmpusense.cm

6 6 Cmpusense Clud Capabilities Questin Types (Cntinued) Tempral Categry Panelists are asked t rate the intensity r dminance f each attribute using a categry scale f bxes. Questins can be set s all attributes are assessed at nce, r ne at a time and can als be used t cllect data fr TDS with magnitudes and MATI (Multi-attribute Time Intensity) data. Tetrad Panelists are presented with a ttal f fur samples, tw f ne prduct and tw f anther. The panelists are asked t grup the samples in what they perceive t be the tw pairs. Triangle Panelists are given three samples; tw are the same and ne is different. Panelists are asked t chse the different sample. Cpyright 2016 Cmpusense Inc. cmpusense.cm

7 7 Cmpusense Clud Capabilities Panelist Management Scheduling Cmmunicatin Tracking Based n respnses t a screener questinnaire, panelists can be autmatically qualified fr a prduct test, where they can selfschedule fr an available test time slt. Qutas can be used t nly schedule the desired respndents (e.g. 50% male and 50% female respndents). Panelists can autmatically reschedule themselves fr available testing slts. Analysts can cmmunicate directly with panelists via integrated and messaging functins. Individual panelists r grups f panelists can be cntacted thrugh the applicatin. Need t remind panelists abut an upcming panel? Quickly and easily cmmunicate with yur entire panel using custmized text, called Wild Cards, and ur simple mail merge functin. Analysts can reward panelists fr participating in panels thrugh an autmated pints system. Panelists wh dn t cmplete tests can be tracked and prevented frm participating in ther tests. Reprt n crrect and incrrect respnses fr Triangle, Du-Tri, DOD / DFC ver time. Reprt n in-range respnses fr line scale and categry questins, useful fr Descriptive Analysis and Quality testing. Prduct Management Prduct Library Prduct Histry Reprt Easily imprt prduct lists int the prduct library fr quick access, tracking and rganizatin. Use Prduct Grups t better rganize prducts by categry. Update and maintain prduct infrmatin all in ne place. Create custm fields t best suit yur prduct s specific qualities. View all tests a prduct has ever been included in. Exprt the results frm all tests a prduct had been included in. Cpyright 2016 Cmpusense Inc. cmpusense.cm

8 8 Cmpusense Clud Capabilities Reprting Standard Reprt Tp Bx Reprt Panelist Summary Reprt General Summary Reprt Penalty Analysis Reprt The Standard reprt is based n questin type and yur analyst defaults. Defaults can custmize t suit yur reprting needs. Reprt n the data frm yur test, including: Scale Parameters A crsstabulatin table with cunts Percentage crsstabulatin table Cunts, Means, Medians, p-values and Standard Deviatins t-test, ANOVA, Freidman s, etc. as apprpriate d Analysis Chi-squared Analysis (Same/Different) Binmial Distributin available fr Triangle, Du-Tri, Tetrad and Paired (2-AFC) tests Summarizes data fr the tp and bttm bxes in Categry questins. Prvides a crsstabulatin table fr each categry/bx frm a selected attribute. The Tp Bx table(s) include: Frequencies fr the tp and bttm bxes fr each sample Multiple Cmparisn Test significance letters indicating if a significant difference was fund A mean table fr each categry attribute displaying Multiple Cmparisn Test significance letters. Run Marasculi s Prcedure. Can be used with select Categry, Line Scale r Numeric attributes. Lists panelist scres fr each attribute r sample. Includes panelist cmments that crrespnd t the results at end f test functinality. Als prvides sample Means, Standard Deviatin and the ttal number f cmpleted evaluatins. This reprt lists sample means fr each attribute and identifies any significant difference. Custmizable t include a variety f additinal infrmatin fields. Used with Penalty Analysis Tests that include a Categry Liking scale, fllwed by Categry Just-Abut-Right scales. Reprt includes: The raw data Penalty Tables Mean Drp Chart Cpyright 2016 Cmpusense Inc. cmpusense.cm

9 9 Cmpusense Clud Capabilities Reprting (cntinued) Schedule Disqualificatin Reprt When using Scheduling and Qutas t recruit fr a test, this reprt displays why a panelist may nt have qualified. Exprt t PwerPint Presentatin Exprts a cmplete PwerPint presentatin (.pptx file) fllwing the cmpletin f a test. Includes graphical results fr selected questins. Graphs are cmpletely custmizable and editable upn exprt. Analyses Statistical Tests Available ANOVA (Analysis f Variance) 2-way 2-way repeated measures 2-way with interactins 1-way 1-way repeated measures Binmial Distributin fr Triangle, Du-Tri, Tetrad and Paired tests Duncan s Multiple Range at 95 r 99% significance Dunnett s at 95 r 99% significance Fisher s LSD at 80, 90, 95 r 99% significance Friedman test Marasculi s Prcedure (Run with the Tp Bx Reprt) Studentized Newman-Keuls at 90, 95 r 99% significance t-test paired and unpaired Tukey s HSD at 90, 95 r 99% significance d Analysis Chi-squared Analysis (Same/Different) Graphing Crsstabulatins and mean scres Principal Cmpnent Analysis (PCA) Graphing Using Filtering Use the filtering tl t nly analyze the data yu want. Filter by demgraphic r screener infrmatin r by quta grup. Cpyright 2016 Cmpusense Inc. cmpusense.cm

10 10 Cmpusense Clud Capabilities Panelist Perfrmance Hits and Misses Reprt Used with Cmpusense FCM, Feedback Calibratin Methdlgy, t train descriptive panels, r with targets and ranges fr samples. Shws which panelists were able t hit the acceptable target r range values n a line r categry scale, with frequency cunts, as well as thse wh did nt hit within the range. An excellent tl fr gauging panelists thrughut the training prcess. Panelist Perfrmance Reprts Prvides the cunts ver time f crrect evaluatins, r evaluatins that scred within the specified range fr questin types such Triangle, Du-Tri r tests with targets and ranges. Panelist Feedback Fr Discriminatin questins, yu have the ptin t prvide panelists with feedback n whether they were able t crrectly discriminated between the samples. Tw display ptins: Immediately fllwing the Questin and End f Cycle. The end f the Cycle ptin causes any related fllw-up Cmment r Chse questins t be seen befre feedback is prvided. Shw Panelists Results at End Fr Qualitative Descriptive tests, yu have the ptin t allw trained panelists t see their results at the end f a sectin r the test. Allws a panelist t see hw their respnses cmpared t the Mean value f all ther cllected results. Panelists can emphasize scres and means using the highlight distance frm mean functin. A great tl fr training descriptive panels. Cpyright 2016 Cmpusense Inc. cmpusense.cm

11 11 Cmpusense Clud Capabilities Panelist Perfrmance (cntinued) Descriptive Analysis Wrkbk (Excel Wrkbk - xlsx file) Prvides a detailed analysis n panelist and prduct perfrmance in a test. Available in quantitative descriptive (QD) tests with replicatins (sessins) when mre than tw samples are included in the analysis. Depending n the selectin, can cntain up t 24 sheets, including: Time Intensity Wrkbk (Excel Wrkbk - xlsx file) Tempral Chice Analysis Wrkbk (Excel Wrkbk - xlsx file) Prduct Summary Attribute Summary Attribute Breakdwn Prduct Mean Graphs PCA (transpsed means) Biplt (transpsed means) PCA (means) Biplt (means) Panel Perfrmance Summary Crssver Scres Scale Mean Usage Panelist SD Table Scale Range Usage Attribute Perfrmance Summary Crrelatin Table pvsmse (Attribute) pvsmse (Panelist) Panelist Cnsistency Panelist Mean Scres Panelist Mean Graphs Panelist Perfrmance Cunts Panelist Rank Orders Rank Orders Graphs Panelist Results by Sample Average Graphs Helps yu t understand/characterize attribute changes in the prduct ver time. Panelist Time Intensity Curves Helps yu t understand yur panelists' perfrmance by pltting the panelist's curve n the same graph as the verall panel average curve. TI-R (Time Intensity Reliability) Prvides an analysis f hw reliable panelists' Time Intensity measurements are acrss multiple sessins. Parameters List Prvides the parameters fr each individual panelist as well as the parameters fr the average curve acrss all panelists. The Tempral Chice Analysis Wrkbk prvides data, analyses and graphs n Tempral Dminance f Sensatin (TDS) and Tempral Check-All-ThatApply (TCATA) questin types. TDS and TCATA Curves Displays ne graph per sample which includes the average curves fr each attribute acrss all panelists. The graphs will als display the chance and significance levels. TDS and TCATA Difference Curves Plts curves where there is a significant difference between a pair f samples based n the Fisher's Exact test. Cpyright 2016 Cmpusense Inc. cmpusense.cm